Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
7080
Single Precision Score
2560
Half Precision Score
11953
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:35 PM |
| Views | 2 |
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-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| 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% |
4852
902.3 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (Q)
|
99% |
10664
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5091
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16345
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15251
17.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
73967
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
5010
397.4 IPS |
|
|
Object Detection (HP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (Q)
|
86% |
13041
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
9519
113.1 IPS |
|
|
Face Detection (HP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
14120
168.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17728
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
27293
217.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44723
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32585
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47721
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4764
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3096
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6096
225.7 IPS |
|
|
Text Classification (SP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2049
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4951
99.5 IPS |
