Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
19520
Single Precision Score
30824
Half Precision Score
13066
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 10:26 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 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Sonos |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9706
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
11957
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
7587
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15556
252.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19153
310.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11835
192.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
51331
59.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
224023
261.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
42971
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
12673
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
16002
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
9758
783.3 IPS |
|
|
Face Detection (SP)
|
100% |
28791
342.1 IPS |
|
|
Face Detection (HP)
|
100% |
39209
465.9 IPS |
|
|
Face Detection (Q)
|
97% |
19811
236.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
63103
486.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97695
752.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35284
282.8 IPS |
|
|
Style Transfer (SP)
|
100% |
193281
248.5 IPS |
|
|
Style Transfer (HP)
|
100% |
532235
684.2 IPS |
|
|
Style Transfer (Q)
|
98% |
118092
152.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29337
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50051
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15769
583.9 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1853
34.8 IPS |
