Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
4168
Single Precision Score
1923
Half Precision Score
7807
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 17 2025 10:04 AM |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3533
657.1 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.2 IPS |
|
|
Image Classification (Q)
|
99% |
8037
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3848
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6230
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5039
5.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
22460
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
966
76.6 IPS |
|
|
Object Detection (Q)
|
86% |
8257
663.6 IPS |
|
|
Face Detection (SP)
|
100% |
6010
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
10048
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7886
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2696
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15520
123.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15344
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13107
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20093
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3031
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4389
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
1998
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2230
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4783
96.1 IPS |
