Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
15709
Single Precision Score
30199
Half Precision Score
12744
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| 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% |
6921
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
13877
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
6342
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9797
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14425
233.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9193
149.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
69997
81.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
242182
282.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
68621
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
8886
704.9 IPS |
|
|
Object Detection (HP)
|
100% |
15443
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
7836
628.8 IPS |
|
|
Face Detection (SP)
|
100% |
19761
234.8 IPS |
|
|
Face Detection (HP)
|
100% |
33902
402.8 IPS |
|
|
Face Detection (Q)
|
97% |
17911
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38104
293.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87493
674.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
31892
255.0 IPS |
|
|
Style Transfer (SP)
|
100% |
109458
140.7 IPS |
|
|
Style Transfer (HP)
|
100% |
394758
507.5 IPS |
|
|
Style Transfer (Q)
|
98% |
92817
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22540
832.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47467
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17952
664.7 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2161
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1753
32.9 IPS |
