Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4
Geekbench AI Score
24488
Single Precision Score
39256
Half Precision Score
19383
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 23 2025 02:51 AM |
| Views | 33 |
| Notes | 2400 MT/s memory speed +100 MHz Gclk -50mV voltage offset +10% power zeroRpmDisabled +100MHz Vclk regular Timing ReBAR = on FanExtCtrl |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12753
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
15396
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
11645
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16594
269.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20921
339.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14999
243.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
133859
156.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
429640
501.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
117454
137.6 IPS |
|
|
Object Detection (SP)
|
100% |
10346
820.7 IPS |
|
|
Object Detection (HP)
|
99% |
15991
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
9590
770.2 IPS |
|
|
Face Detection (SP)
|
100% |
30046
357.0 IPS |
|
|
Face Detection (HP)
|
100% |
42209
501.5 IPS |
|
|
Face Detection (Q)
|
97% |
26296
313.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64927
500.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102546
790.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
48672
390.3 IPS |
|
|
Style Transfer (SP)
|
100% |
218056
280.3 IPS |
|
|
Style Transfer (HP)
|
100% |
482373
620.1 IPS |
|
|
Style Transfer (Q)
|
98% |
209916
270.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37492
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79242
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26718
989.3 IPS |
|
|
Text Classification (SP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5179
89.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2116
39.7 IPS |
