Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench AI Score
25200
Single Precision Score
38110
Half Precision Score
21718
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 09:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| 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 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% |
11919
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
14884
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
11532
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12030
195.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14796
239.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16175
263.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
137279
160.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
442900
516.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
121740
142.6 IPS |
|
|
Object Detection (SP)
|
100% |
10759
853.4 IPS |
|
|
Object Detection (HP)
|
99% |
16073
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
10254
823.5 IPS |
|
|
Face Detection (SP)
|
100% |
32198
382.6 IPS |
|
|
Face Detection (HP)
|
100% |
46217
549.2 IPS |
|
|
Face Detection (Q)
|
97% |
27565
328.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
66710
514.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94980
731.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
53904
432.3 IPS |
|
|
Style Transfer (SP)
|
100% |
246458
316.8 IPS |
|
|
Style Transfer (HP)
|
100% |
479332
616.2 IPS |
|
|
Style Transfer (Q)
|
98% |
211384
272.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39104
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70963
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32622
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2798
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6334
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6531
112.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3498
65.6 IPS |
