Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
3155
Single Precision Score
1439
Half Precision Score
4457
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 10:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. B550M-A PRO (MS-7C96) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2624
487.9 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.2 IPS |
|
|
Image Classification (Q)
|
96% |
3878
724.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2440
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4430
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
9223
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
58% |
2880
314.7 IPS |
|
|
Face Detection (SP)
|
100% |
4890
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
1511
17.9 IPS |
|
|
Face Detection (Q)
|
96% |
7078
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6132
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2103
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9108
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11191
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9408
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
14133
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2913
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1540
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
3012
58.2 IPS |
