Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
1933
Single Precision Score
904
Half Precision Score
2950
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| 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 | Nihai Performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1626
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.0 IPS |
|
|
Image Classification (Q)
|
96% |
3350
625.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
2031
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
5737
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
58% |
1816
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (Q)
|
96% |
4693
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3544
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1265
9.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
5755
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6774
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
5467
7.03 IPS |
|
|
Style Transfer (Q)
|
87% |
9890
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1623
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.7 IPS |
|
|
Text Classification (Q)
|
97% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1853
35.8 IPS |
