Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
8136
Single Precision Score
2781
Half Precision Score
11968
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 06:20 AM |
| Views | 4 |
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-7E47 |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS WIFI (MS-7E47) |
| Power Plan | Balanced |
| 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 | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7810
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
1083
201.4 IPS |
|
|
Image Classification (Q)
|
99% |
14189
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3318
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5104
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15203
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11237
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
52631
61.7 IPS |
|
|
Object Detection (SP)
|
100% |
8002
634.7 IPS |
|
|
Object Detection (HP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (Q)
|
86% |
14616
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
19393
230.4 IPS |
|
|
Face Detection (HP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
15521
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20454
157.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4225
32.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24264
193.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21519
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16372
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35731
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3141
116.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6030
223.3 IPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2324
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4773
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5740
115.3 IPS |
