Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
7760
Single Precision Score
3172
Half Precision Score
13757
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 09:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6935
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
1144
212.7 IPS |
|
|
Image Classification (Q)
|
99% |
13381
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15805
257.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13457
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10405
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
44653
52.4 IPS |
|
|
Object Detection (SP)
|
100% |
6448
511.5 IPS |
|
|
Object Detection (HP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (Q)
|
86% |
13691
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
12102
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (Q)
|
97% |
14981
178.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16290
125.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4248
32.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
29195
233.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31231
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23097
29.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39353
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6925
256.4 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2639
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4914
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5973
120.0 IPS |
