Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
4165
Single Precision Score
1076
Half Precision Score
5245
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | m8118 |
| Upload Date | October 11 2024 11:44 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
93% |
4049
757.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
2997
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13279
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7693
8.98 IPS |
|
|
Pose Estimation (Q)
|
87% |
24421
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
86% |
2272
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.54 IPS |
|
|
Face Detection (Q)
|
96% |
5603
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9382
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8479
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26586
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21482
27.6 IPS |
|
|
Style Transfer (Q)
|
87% |
21151
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4324
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
613
817.6 IPS |
|
|
Text Classification (Q)
|
97% |
1570
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3432
76.6 IPS |
