Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
9867
Single Precision Score
3600
Half Precision Score
11180
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iDemon |
| Upload Date | August 25 2025 10:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8704
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
1279
237.9 IPS |
|
|
Image Classification (Q)
|
99% |
14500
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7218
117.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17722
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13753
16.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
56855
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
8656
686.6 IPS |
|
|
Object Detection (HP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (Q)
|
86% |
9410
756.3 IPS |
|
|
Face Detection (SP)
|
100% |
21509
255.6 IPS |
|
|
Face Detection (HP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (Q)
|
97% |
14818
176.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20784
160.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4945
38.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
38888
310.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40593
52.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28469
36.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44982
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6329
233.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6843
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
610
816.7 IPS |
|
|
Machine Translation (SP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5040
101.3 IPS |
