Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
18546
Single Precision Score
29068
Half Precision Score
12490
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 09:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B570 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (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 | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9270
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
12066
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
7194
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14981
242.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19191
311.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11165
181.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
44431
51.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
146477
170.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
38258
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
11801
936.1 IPS |
|
|
Object Detection (HP)
|
100% |
15710
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
9219
740.0 IPS |
|
|
Face Detection (SP)
|
100% |
24975
296.8 IPS |
|
|
Face Detection (HP)
|
100% |
35541
422.3 IPS |
|
|
Face Detection (Q)
|
97% |
17302
206.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
57303
441.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94065
724.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
33273
267.3 IPS |
|
|
Style Transfer (SP)
|
100% |
172604
221.9 IPS |
|
|
Style Transfer (HP)
|
100% |
482499
620.3 IPS |
|
|
Style Transfer (Q)
|
98% |
114963
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27686
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45984
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15023
556.3 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1698
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1932
36.2 IPS |
