Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
6928
Single Precision Score
2588
Half Precision Score
10789
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 29 2025 09:45 PM |
| Views | 11 |
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% |
4849
901.8 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (Q)
|
99% |
12943
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2995
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4216
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16751
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12447
14.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
75846
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
5142
407.9 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.6 IPS |
|
|
Object Detection (Q)
|
86% |
12879
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
10100
120.0 IPS |
|
|
Face Detection (HP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (Q)
|
97% |
14499
172.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16761
129.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3931
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
30150
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33808
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28305
36.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49983
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3404
125.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6350
235.1 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
612
819.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4724
94.9 IPS |
