Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3829
Single Precision Score
1844
Half Precision Score
5324
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Odai |
| Upload Date | October 05 2024 01:14 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| 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% |
2211
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
677
126.0 IPS |
|
|
Image Classification (Q)
|
99% |
6215
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2807
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5071
5.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
27056
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2534
201.0 IPS |
|
|
Object Detection (HP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (Q)
|
88% |
2671
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3867
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
5953
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7622
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2744
21.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11328
90.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15288
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13847
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27630
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3070
113.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
487
652.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3251
72.5 IPS |
