Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
9521
Single Precision Score
3215
Half Precision Score
13108
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:34 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% |
7983
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (Q)
|
99% |
14109
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3494
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5156
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16754
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12451
14.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
54268
63.6 IPS |
|
|
Object Detection (SP)
|
100% |
8036
637.4 IPS |
|
|
Object Detection (HP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (Q)
|
86% |
14589
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
19709
234.2 IPS |
|
|
Face Detection (HP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
15418
183.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21237
163.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4546
35.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
37062
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38538
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27034
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44006
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6984
258.6 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2629
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5034
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5632
113.2 IPS |
