Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
10668
Single Precision Score
10673
Half Precision Score
27459
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | napostriouf |
| Upload Date | June 11 2025 11:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
7122
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7141
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16798
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7228
117.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7237
117.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17758
287.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13754
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13934
16.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
56261
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
6561
520.5 IPS |
|
|
Object Detection (HP)
|
100% |
6338
502.8 IPS |
|
|
Object Detection (Q)
|
88% |
18275
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
15588
185.2 IPS |
|
|
Face Detection (HP)
|
100% |
15895
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
44603
530.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16622
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16637
128.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
50688
394.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38555
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37991
48.8 IPS |
|
|
Style Transfer (Q)
|
98% |
135103
174.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8105
299.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8490
313.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27728
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
6200
8.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5995
8.00 KIPS |
|
|
Text Classification (Q)
|
92% |
9141
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
8192
141.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8220
141.6 IPS |
|
|
Machine Translation (Q)
|
100% |
10264
176.8 IPS |
