Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
18939
Single Precision Score
33821
Half Precision Score
14777
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 07:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8210
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
14993
2.79 KIPS |
|
|
Image Classification (Q)
|
99% |
7305
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11503
186.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15838
256.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10643
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
100144
116.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
304187
354.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
84278
98.7 IPS |
|
|
Object Detection (SP)
|
100% |
10458
829.5 IPS |
|
|
Object Detection (HP)
|
100% |
16528
1.31 KIPS |
|
|
Object Detection (Q)
|
83% |
9044
730.7 IPS |
|
|
Face Detection (SP)
|
100% |
24627
292.6 IPS |
|
|
Face Detection (HP)
|
100% |
39013
463.6 IPS |
|
|
Face Detection (Q)
|
97% |
21658
258.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
49047
377.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98225
756.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
39250
313.8 IPS |
|
|
Style Transfer (SP)
|
100% |
150285
193.2 IPS |
|
|
Style Transfer (HP)
|
100% |
514347
661.2 IPS |
|
|
Style Transfer (Q)
|
98% |
127387
164.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28186
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54123
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21791
806.9 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2094
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1696
31.8 IPS |
