Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
7680
Single Precision Score
2789
Half Precision Score
12601
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 02:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 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. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
5360
996.8 IPS |
|
|
Image Classification (HP)
|
100% |
867
161.2 IPS |
|
|
Image Classification (Q)
|
99% |
11977
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5084
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
26650
31.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16102
18.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
73894
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
5692
451.5 IPS |
|
|
Object Detection (HP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
86% |
14257
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
10168
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
15684
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17620
135.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4145
31.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
30327
242.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44832
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37317
48.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48028
61.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6221
230.3 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2042
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3997
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5423
109.0 IPS |
