Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
27364
Single Precision Score
46882
Half Precision Score
21539
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 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% |
11363
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
18814
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
10298
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16321
264.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21606
350.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15148
246.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
169298
197.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
490362
572.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
144197
168.9 IPS |
|
|
Object Detection (SP)
|
100% |
15006
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
24809
1.97 KIPS |
|
|
Object Detection (Q)
|
83% |
12735
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
37888
450.2 IPS |
|
|
Face Detection (HP)
|
100% |
55876
663.9 IPS |
|
|
Face Detection (Q)
|
97% |
32064
382.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
71343
549.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
138574
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56326
449.6 IPS |
|
|
Style Transfer (SP)
|
100% |
234283
301.2 IPS |
|
|
Style Transfer (HP)
|
100% |
767000
986.0 IPS |
|
|
Style Transfer (Q)
|
98% |
199210
256.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43108
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78178
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34202
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4696
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4711
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4758
82.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2500
46.9 IPS |
