Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
21212
Single Precision Score
37908
Half Precision Score
16855
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:33 PM |
| 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 H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| 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% |
9274
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
15730
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8543
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12479
202.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16911
274.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11917
193.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
122247
142.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
385240
449.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
113420
132.9 IPS |
|
|
Object Detection (SP)
|
100% |
11129
882.8 IPS |
|
|
Object Detection (HP)
|
100% |
18893
1.50 KIPS |
|
|
Object Detection (Q)
|
83% |
9666
780.9 IPS |
|
|
Face Detection (SP)
|
100% |
27441
326.1 IPS |
|
|
Face Detection (HP)
|
100% |
42197
501.4 IPS |
|
|
Face Detection (Q)
|
97% |
24207
288.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54321
418.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112621
867.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
44146
352.4 IPS |
|
|
Style Transfer (SP)
|
100% |
172441
221.7 IPS |
|
|
Style Transfer (HP)
|
100% |
585652
752.9 IPS |
|
|
Style Transfer (Q)
|
98% |
148287
191.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33611
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63066
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25841
956.9 IPS |
|
|
Text Classification (SP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4423
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2285
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4077
70.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1772
33.2 IPS |
