Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
2263
Single Precision Score
2285
Half Precision Score
2422
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | February 27 2025 10:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 2700 Eight-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
1489
276.9 IPS |
|
|
Image Classification (Q)
|
100% |
1563
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1982
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3137
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
3484
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (Q)
|
87% |
1477
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
4862
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3365
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3814
29.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4121
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8905
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8141
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9947
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2034
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (Q)
|
91% |
543
730.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1981
34.1 IPS |
