Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
12437
Single Precision Score
12427
Half Precision Score
28374
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 20 2024 12:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| 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 | 5.75 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 121.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6433
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6397
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
14523
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7579
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7569
122.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13289
216.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28327
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
28353
33.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
116823
136.8 IPS |
|
|
Object Detection (SP)
|
100% |
6989
554.4 IPS |
|
|
Object Detection (HP)
|
100% |
6999
555.1 IPS |
|
|
Object Detection (Q)
|
88% |
15984
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
17441
207.2 IPS |
|
|
Face Detection (HP)
|
100% |
17553
208.6 IPS |
|
|
Face Detection (Q)
|
100% |
41096
488.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21600
166.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21383
164.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
60445
470.3 IPS |
|
|
Style Transfer (SP)
|
100% |
69394
89.2 IPS |
|
|
Style Transfer (HP)
|
100% |
69360
89.2 IPS |
|
|
Style Transfer (Q)
|
98% |
255299
329.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11769
434.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11740
433.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33113
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4605
6.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4582
6.12 KIPS |
|
|
Text Classification (Q)
|
92% |
6114
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6479
111.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6528
112.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7311
125.9 IPS |
