Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
8706
Single Precision Score
8841
Half Precision Score
21928
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 04:51 PM |
| Views | 1 |
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 | AMD Ryzen Balanced |
| 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% |
4714
876.6 IPS |
|
|
Image Classification (HP)
|
100% |
4640
862.8 IPS |
|
|
Image Classification (Q)
|
100% |
12405
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6326
102.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6875
111.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18413
298.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14882
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14615
17.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
58473
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
5273
418.3 IPS |
|
|
Object Detection (HP)
|
100% |
5396
428.0 IPS |
|
|
Object Detection (Q)
|
88% |
14239
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
11571
137.5 IPS |
|
|
Face Detection (HP)
|
100% |
11069
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
36267
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14806
114.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15941
122.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
41908
326.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39857
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39905
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
142845
184.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7784
287.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7940
293.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22778
843.5 IPS |
|
|
Text Classification (SP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5502
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5691
98.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6652
114.6 IPS |
