Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
5997
Single Precision Score
2569
Half Precision Score
9007
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 09:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4550
846.2 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (Q)
|
99% |
11299
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8047
130.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14984
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
56263
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
4650
368.8 IPS |
|
|
Object Detection (HP)
|
100% |
1057
83.8 IPS |
|
|
Object Detection (Q)
|
86% |
9869
793.2 IPS |
|
|
Face Detection (SP)
|
100% |
8843
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
13635
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13058
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3561
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26027
207.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28714
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40123
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2342
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
564
756.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3704
74.4 IPS |
