Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4
Geekbench AI Score
24212
Single Precision Score
37699
Half Precision Score
19891
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 23 2025 03:24 AM |
| Views | 102 |
| Notes | 2400 MT/s memory speed +100 MHz Gclk -0mV voltage offset +0% power zeroRpmDisabled Timing Opt disabled 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% |
11220
2.09 KIPS |
|
|
Image Classification (HP)
|
100% |
13444
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
10431
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14548
235.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20432
331.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14479
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
125966
147.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
411240
479.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
109786
128.6 IPS |
|
|
Object Detection (SP)
|
100% |
9753
773.6 IPS |
|
|
Object Detection (HP)
|
99% |
14800
1.17 KIPS |
|
|
Object Detection (Q)
|
87% |
8812
707.7 IPS |
|
|
Face Detection (SP)
|
100% |
27818
330.5 IPS |
|
|
Face Detection (HP)
|
100% |
36810
437.4 IPS |
|
|
Face Detection (Q)
|
97% |
25194
300.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
63767
491.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96338
742.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
53755
431.1 IPS |
|
|
Style Transfer (SP)
|
100% |
235036
302.1 IPS |
|
|
Style Transfer (HP)
|
100% |
479782
616.8 IPS |
|
|
Style Transfer (Q)
|
98% |
197114
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39347
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78857
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32345
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4269
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4991
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
3064
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4930
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2509
47.1 IPS |
