Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
7438
Single Precision Score
7588
Half Precision Score
19031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Odai |
| Upload Date | October 05 2024 01:16 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5106
949.6 IPS |
|
|
Image Classification (HP)
|
100% |
5265
979.2 IPS |
|
|
Image Classification (Q)
|
100% |
12070
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4372
70.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10113
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9251
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9290
10.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
36856
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.8 IPS |
|
|
Object Detection (HP)
|
100% |
4658
369.5 IPS |
|
|
Object Detection (Q)
|
88% |
12861
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
11012
130.9 IPS |
|
|
Face Detection (HP)
|
100% |
11296
134.2 IPS |
|
|
Face Detection (Q)
|
100% |
33454
397.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11639
89.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11754
90.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36540
284.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25823
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26103
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96750
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5906
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5924
218.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18882
699.3 IPS |
|
|
Text Classification (SP)
|
100% |
4625
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4664
6.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6081
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6575
113.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7932
136.6 IPS |
