Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
19371
Single Precision Score
35026
Half Precision Score
15028
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:48 AM |
| Views | 3 |
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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8077
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
14512
2.70 KIPS |
|
|
Image Classification (Q)
|
99% |
7184
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12912
209.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18857
305.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12045
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
99376
116.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
304694
355.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
83075
97.3 IPS |
|
|
Object Detection (SP)
|
100% |
10687
847.7 IPS |
|
|
Object Detection (HP)
|
100% |
17139
1.36 KIPS |
|
|
Object Detection (Q)
|
83% |
9199
743.3 IPS |
|
|
Face Detection (SP)
|
100% |
24967
296.7 IPS |
|
|
Face Detection (HP)
|
100% |
41462
492.7 IPS |
|
|
Face Detection (Q)
|
97% |
22110
263.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48121
370.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98920
762.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38839
310.5 IPS |
|
|
Style Transfer (SP)
|
100% |
150247
193.1 IPS |
|
|
Style Transfer (HP)
|
100% |
515985
663.3 IPS |
|
|
Style Transfer (Q)
|
98% |
127085
163.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27981
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53081
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21643
801.4 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2051
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4607
79.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1835
34.4 IPS |
