Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
4644
Single Precision Score
4632
Half Precision Score
6931
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | November 06 2024 09:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3180
591.4 IPS |
|
|
Image Classification (HP)
|
100% |
3072
571.2 IPS |
|
|
Image Classification (Q)
|
100% |
4312
802.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4444
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5698
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5691
6.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
11351
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2854
226.3 IPS |
|
|
Object Detection (HP)
|
100% |
2902
230.2 IPS |
|
|
Object Detection (Q)
|
87% |
4536
363.8 IPS |
|
|
Face Detection (SP)
|
100% |
6937
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
6956
82.7 IPS |
|
|
Face Detection (Q)
|
97% |
12831
153.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7478
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7266
56.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
12230
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16828
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16505
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32486
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6774
250.9 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
91% |
1699
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4543
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4421
76.2 IPS |
