Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
7000
Single Precision Score
2609
Half Precision Score
10742
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 29 2025 08:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4890
909.4 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.5 IPS |
|
|
Image Classification (Q)
|
99% |
12878
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4554
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17602
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12583
14.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
72512
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
5138
407.6 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
86% |
12283
987.1 IPS |
|
|
Face Detection (SP)
|
100% |
10177
120.9 IPS |
|
|
Face Detection (HP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
14550
173.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17026
131.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4028
31.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
30518
243.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33679
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28758
37.0 IPS |
|
|
Style Transfer (Q)
|
98% |
51303
66.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3430
126.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6346
235.0 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
600
804.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3981
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4516
90.7 IPS |
