Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
2504
Single Precision Score
1189
Half Precision Score
4010
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pearlhero033 |
| Upload Date | May 24 2025 01:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600GT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
96% |
3780
705.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2392
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3926
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3240
3.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
8979
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
58% |
2683
293.2 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (Q)
|
96% |
6551
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5032
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1742
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8157
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9643
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7976
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
12053
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2256
83.6 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.6 IPS |
|
|
Text Classification (Q)
|
97% |
1432
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2376
45.9 IPS |
