Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench AI Score
22019
Single Precision Score
39787
Half Precision Score
17304
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 07:30 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 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% |
9141
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
15632
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
8372
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14976
242.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21129
342.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13727
223.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
122731
143.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
391158
456.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
114099
133.7 IPS |
|
|
Object Detection (SP)
|
100% |
11653
924.3 IPS |
|
|
Object Detection (HP)
|
100% |
20300
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
10175
822.1 IPS |
|
|
Face Detection (SP)
|
100% |
29259
347.7 IPS |
|
|
Face Detection (HP)
|
100% |
47403
563.3 IPS |
|
|
Face Detection (Q)
|
97% |
25567
304.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
54314
418.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
115929
893.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
44147
352.4 IPS |
|
|
Style Transfer (SP)
|
100% |
173219
222.7 IPS |
|
|
Style Transfer (HP)
|
100% |
591563
760.5 IPS |
|
|
Style Transfer (Q)
|
98% |
148948
192.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33333
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60827
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25580
947.2 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2175
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4851
83.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1929
36.2 IPS |
