Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
13191
Single Precision Score
12943
Half Precision Score
28317
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | October 16 2024 08:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6713
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6598
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
14668
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8324
134.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7898
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14515
235.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31653
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31681
37.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
126447
148.0 IPS |
|
|
Object Detection (SP)
|
100% |
7674
608.7 IPS |
|
|
Object Detection (HP)
|
100% |
7393
586.4 IPS |
|
|
Object Detection (Q)
|
88% |
16485
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
16860
200.3 IPS |
|
|
Face Detection (HP)
|
100% |
15961
189.6 IPS |
|
|
Face Detection (Q)
|
100% |
39368
467.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23229
179.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22074
170.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
61310
477.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78532
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
79259
101.9 IPS |
|
|
Style Transfer (Q)
|
98% |
276983
357.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13378
494.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13139
485.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34949
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4749
6.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5375
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6016
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6147
105.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5949
102.5 IPS |
