Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
10097
Single Precision Score
3332
Half Precision Score
13848
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SgtBauerFR |
| Upload Date | March 24 2025 12:07 AM |
| Views | 10 |
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-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8477
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (Q)
|
99% |
15016
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3956
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5322
86.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17391
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13141
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
56542
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
8362
663.3 IPS |
|
|
Object Detection (HP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (Q)
|
86% |
15464
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
20544
244.1 IPS |
|
|
Face Detection (HP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
16131
192.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22215
171.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4785
36.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
38426
306.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40306
51.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27801
35.7 IPS |
|
|
Style Transfer (Q)
|
98% |
45993
59.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6269
231.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6998
259.1 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2630
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5863
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
65% |
7077
142.2 IPS |
