Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
8794
Single Precision Score
3122
Half Precision Score
12812
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | borissdk |
| Upload Date | May 28 2025 08:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-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 | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7929
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
1134
210.9 IPS |
|
|
Image Classification (Q)
|
99% |
13788
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3395
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5182
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16098
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11306
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
48923
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
8039
637.7 IPS |
|
|
Object Detection (HP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (Q)
|
86% |
14423
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
19106
227.0 IPS |
|
|
Face Detection (HP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
14353
171.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11790
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4316
33.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
36339
290.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36041
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26419
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42823
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6179
228.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7111
263.3 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1256
1.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2613
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5696
114.4 IPS |
