Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4
Geekbench AI Score
24917
Single Precision Score
37718
Half Precision Score
20070
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 23 2025 01:22 AM |
| Views | 21 |
| Notes | 2400 MT/s memory speed +150MHz Gclk -105mV voltage offset +10% power zeroRpmDisabled +100MHz Vclk fastTiming 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% |
11822
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
14905
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
10809
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14413
233.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20617
334.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14062
228.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
134319
156.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
407883
475.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
116135
136.0 IPS |
|
|
Object Detection (SP)
|
100% |
10004
793.6 IPS |
|
|
Object Detection (HP)
|
99% |
14634
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
8894
714.3 IPS |
|
|
Face Detection (SP)
|
100% |
28596
339.8 IPS |
|
|
Face Detection (HP)
|
100% |
36670
435.7 IPS |
|
|
Face Detection (Q)
|
97% |
25113
299.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
64807
499.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93532
720.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
53893
432.2 IPS |
|
|
Style Transfer (SP)
|
100% |
248889
319.9 IPS |
|
|
Style Transfer (HP)
|
100% |
465880
598.9 IPS |
|
|
Style Transfer (Q)
|
98% |
204059
263.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40050
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78663
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32446
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4327
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
3100
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5042
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2432
45.6 IPS |
