Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
7789
Single Precision Score
2973
Half Precision Score
11909
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | napostriouf |
| Upload Date | June 11 2025 11:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 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. 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6792
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (Q)
|
99% |
12816
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3077
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4946
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13713
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10304
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
44143
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
6340
502.9 IPS |
|
|
Object Detection (HP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (Q)
|
86% |
12520
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
11603
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
14337
170.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16613
128.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4279
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
28256
225.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31747
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22551
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40488
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4294
158.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6758
250.2 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2611
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4322
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5663
113.8 IPS |
