Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench AI Score
22244
Single Precision Score
40662
Half Precision Score
17425
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 11:46 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 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9531
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
16855
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8808
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14278
231.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19989
324.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13526
219.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
122260
142.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
382820
446.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
113794
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
11709
928.8 IPS |
|
|
Object Detection (HP)
|
100% |
20348
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
10113
817.1 IPS |
|
|
Face Detection (SP)
|
100% |
28187
334.9 IPS |
|
|
Face Detection (HP)
|
100% |
45261
537.8 IPS |
|
|
Face Detection (Q)
|
97% |
24491
292.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53966
415.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
116595
898.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
43752
349.2 IPS |
|
|
Style Transfer (SP)
|
100% |
171673
220.7 IPS |
|
|
Style Transfer (HP)
|
100% |
595986
766.1 IPS |
|
|
Style Transfer (Q)
|
98% |
147884
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34165
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65310
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26312
974.3 IPS |
|
|
Text Classification (SP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4890
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2415
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4688
80.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1870
35.1 IPS |
