Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
4056
Single Precision Score
1804
Half Precision Score
7371
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 04:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| 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 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3439
639.5 IPS |
|
|
Image Classification (HP)
|
100% |
726
135.1 IPS |
|
|
Image Classification (Q)
|
99% |
7471
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3580
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5986
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5049
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
21339
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3090
245.1 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
86% |
7890
634.1 IPS |
|
|
Face Detection (SP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
9244
110.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7739
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2529
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15369
122.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14991
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12273
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20194
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2420
89.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4162
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1999
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4408
88.6 IPS |
