Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
7872
Single Precision Score
2779
Half Precision Score
12860
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | July 05 2025 07:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5097
947.9 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.3 IPS |
|
|
Image Classification (Q)
|
99% |
12174
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5315
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27733
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16771
19.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
81543
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
5926
470.0 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
86% |
14062
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
10395
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
16213
193.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20037
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4171
32.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
33731
269.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47616
61.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34629
44.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48820
63.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5864
217.1 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1831
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5820
116.9 IPS |
