Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
9003
Single Precision Score
9041
Half Precision Score
21645
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 03:41 PM |
| Views | 3 |
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% |
5017
933.1 IPS |
|
|
Image Classification (HP)
|
100% |
4878
907.2 IPS |
|
|
Image Classification (Q)
|
100% |
12570
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6844
111.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7048
114.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18859
305.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15107
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15018
17.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
58697
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
5626
446.2 IPS |
|
|
Object Detection (HP)
|
100% |
5779
458.4 IPS |
|
|
Object Detection (Q)
|
88% |
13845
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
12451
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
12446
147.9 IPS |
|
|
Face Detection (Q)
|
100% |
36796
437.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15224
117.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15119
116.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
39971
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39187
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39954
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
140096
180.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7992
295.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7975
294.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22530
834.4 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4135
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5496
94.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6104
105.1 IPS |
