Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
20255
Single Precision Score
32144
Half Precision Score
13595
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 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 | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10034
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
12994
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
7768
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16038
260.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20368
330.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12158
197.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
51801
60.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
235383
274.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
44397
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
12793
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
16294
1.29 KIPS |
|
|
Object Detection (Q)
|
87% |
9872
792.4 IPS |
|
|
Face Detection (SP)
|
100% |
29144
346.3 IPS |
|
|
Face Detection (HP)
|
100% |
38223
454.2 IPS |
|
|
Face Detection (Q)
|
97% |
19944
237.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
63644
490.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99302
765.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36262
290.6 IPS |
|
|
Style Transfer (SP)
|
100% |
195626
251.5 IPS |
|
|
Style Transfer (HP)
|
100% |
526625
677.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129326
166.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29708
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50535
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16003
592.6 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2003
37.6 IPS |
