Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
9443
Single Precision Score
9504
Half Precision Score
21273
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 25 2025 03:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-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 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5164
960.3 IPS |
|
|
Image Classification (HP)
|
100% |
5196
966.3 IPS |
|
|
Image Classification (Q)
|
100% |
10613
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6832
110.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6788
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16675
270.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16253
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16287
19.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
64342
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
5789
459.2 IPS |
|
|
Object Detection (HP)
|
100% |
5921
469.6 IPS |
|
|
Object Detection (Q)
|
88% |
12702
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
13981
166.1 IPS |
|
|
Face Detection (HP)
|
100% |
14196
168.7 IPS |
|
|
Face Detection (Q)
|
100% |
34457
409.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16911
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17034
131.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
42780
332.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42034
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41851
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
150730
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8556
315.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8466
312.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23600
874.0 IPS |
|
|
Text Classification (SP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
92% |
4508
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5193
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5164
89.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5552
95.6 IPS |
