Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
2181
Single Precision Score
1087
Half Precision Score
3539
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 04:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | Balanceret |
| 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% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
96% |
3447
643.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2011
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3401
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2795
3.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
7802
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.5 IPS |
|
|
Object Detection (Q)
|
58% |
2300
251.4 IPS |
|
|
Face Detection (SP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
5709
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4408
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1618
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7333
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8236
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7006
9.01 IPS |
|
|
Style Transfer (Q)
|
87% |
11263
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2108
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.9 IPS |
|
|
Text Classification (Q)
|
97% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
68% |
1915
37.0 IPS |
