Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
19478
Single Precision Score
30450
Half Precision Score
13265
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 12:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500X |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9793
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
12463
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
7655
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15163
245.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18687
302.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11648
189.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
51831
60.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
214578
250.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
44390
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
12331
978.1 IPS |
|
|
Object Detection (HP)
|
100% |
15632
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
9622
772.3 IPS |
|
|
Face Detection (SP)
|
100% |
27724
329.4 IPS |
|
|
Face Detection (HP)
|
100% |
36422
432.8 IPS |
|
|
Face Detection (Q)
|
97% |
19593
233.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
62835
484.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97640
752.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36174
289.9 IPS |
|
|
Style Transfer (SP)
|
100% |
194702
250.3 IPS |
|
|
Style Transfer (HP)
|
100% |
519958
668.4 IPS |
|
|
Style Transfer (Q)
|
98% |
129662
167.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29188
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49469
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15910
589.1 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3255
56.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1814
34.0 IPS |
