Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
21524
Single Precision Score
38371
Half Precision Score
16966
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 11:14 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 WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| 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% |
9046
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
15314
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
8301
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14010
227.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19569
317.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13180
214.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
121859
142.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
374093
436.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
113517
133.0 IPS |
|
|
Object Detection (SP)
|
100% |
11369
901.8 IPS |
|
|
Object Detection (HP)
|
100% |
19432
1.54 KIPS |
|
|
Object Detection (Q)
|
83% |
9773
789.6 IPS |
|
|
Face Detection (SP)
|
100% |
27685
329.0 IPS |
|
|
Face Detection (HP)
|
100% |
43653
518.7 IPS |
|
|
Face Detection (Q)
|
97% |
24580
293.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
54159
417.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110449
850.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
43718
348.9 IPS |
|
|
Style Transfer (SP)
|
100% |
170506
219.2 IPS |
|
|
Style Transfer (HP)
|
100% |
570700
733.6 IPS |
|
|
Style Transfer (Q)
|
98% |
148678
191.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32221
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59773
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24924
922.9 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1873
35.1 IPS |
