Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
9647
Single Precision Score
3297
Half Precision Score
13110
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 86_crazy |
| Upload Date | January 28 2025 05:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8191
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
1135
211.1 IPS |
|
|
Image Classification (Q)
|
99% |
14372
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3741
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5282
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16708
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13099
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
55024
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
8041
637.8 IPS |
|
|
Object Detection (HP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (Q)
|
86% |
14661
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
19754
234.7 IPS |
|
|
Face Detection (HP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (Q)
|
97% |
15555
185.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21371
164.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4717
36.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
37325
297.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39215
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28121
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39789
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6191
228.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5033
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7079
262.1 IPS |
|
|
Text Classification (SP)
|
100% |
3322
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2638
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4984
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5681
114.1 IPS |
