Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench AI Score
21138
Single Precision Score
37726
Half Precision Score
16776
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 11:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| 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% |
9083
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
15494
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
8281
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13044
211.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17489
283.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12213
198.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
121472
141.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
378988
442.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
112711
132.0 IPS |
|
|
Object Detection (SP)
|
100% |
10762
853.7 IPS |
|
|
Object Detection (HP)
|
100% |
18029
1.43 KIPS |
|
|
Object Detection (Q)
|
83% |
9606
776.1 IPS |
|
|
Face Detection (SP)
|
100% |
27227
323.5 IPS |
|
|
Face Detection (HP)
|
100% |
41775
496.4 IPS |
|
|
Face Detection (Q)
|
97% |
23866
284.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53695
413.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112498
866.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
44134
352.3 IPS |
|
|
Style Transfer (SP)
|
100% |
171248
220.1 IPS |
|
|
Style Transfer (HP)
|
100% |
583973
750.7 IPS |
|
|
Style Transfer (Q)
|
98% |
147878
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33218
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63230
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25794
955.1 IPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4387
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2277
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1763
33.1 IPS |
