Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
4429
Single Precision Score
2028
Half Precision Score
9253
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 12:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| 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% |
3547
659.6 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
99% |
7991
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9109
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5930
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5110
5.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
22148
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (Q)
|
86% |
8362
672.0 IPS |
|
|
Face Detection (SP)
|
100% |
8036
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
11086
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7649
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2858
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16778
133.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13785
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12609
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27976
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3007
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2515
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6159
228.1 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2004
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5315
106.8 IPS |
