Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
10728
Single Precision Score
10763
Half Precision Score
27707
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | napostriouf |
| Upload Date | March 12 2025 01:12 PM |
| Views | 11 |
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 8-Core Processor |
| 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% |
7119
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7200
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
17141
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7201
116.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7184
116.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17940
290.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13881
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14125
16.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
56853
66.6 IPS |
|
|
Object Detection (SP)
|
100% |
6601
523.6 IPS |
|
|
Object Detection (HP)
|
100% |
6583
522.1 IPS |
|
|
Object Detection (Q)
|
88% |
18688
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
15751
187.2 IPS |
|
|
Face Detection (HP)
|
100% |
15818
188.0 IPS |
|
|
Face Detection (Q)
|
100% |
45320
538.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16626
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16873
130.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
51508
400.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38128
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38565
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
137722
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8255
304.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8311
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27279
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
6275
8.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
92% |
9063
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
8314
143.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8305
143.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10268
176.9 IPS |
