Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3089
Single Precision Score
1186
Half Precision Score
3394
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 ACE (MS-7C35) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2399
446.2 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (Q)
|
96% |
3753
700.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
1895
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9246
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
10819
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
58% |
2494
272.5 IPS |
|
|
Face Detection (SP)
|
100% |
4447
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
96% |
6669
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8002
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1880
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9188
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18064
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15537
20.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15820
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1791
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.6 IPS |
|
|
Text Classification (Q)
|
97% |
344
460.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1774
34.3 IPS |
