Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2948
Single Precision Score
1364
Half Precision Score
4397
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | March 07 2025 02:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
96% |
4121
769.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2399
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3407
3.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
9038
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2024
160.6 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (Q)
|
58% |
2816
307.7 IPS |
|
|
Face Detection (SP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (Q)
|
96% |
7155
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5729
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1897
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8518
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10599
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8285
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13814
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2700
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1571
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
68% |
3013
58.2 IPS |
