Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
5685
Single Precision Score
5681
Half Precision Score
7680
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | January 16 2025 01:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-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 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3553
660.7 IPS |
|
|
Image Classification (HP)
|
100% |
3522
654.9 IPS |
|
|
Image Classification (Q)
|
100% |
5107
949.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4102
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4099
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5870
95.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6847
7.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
13689
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
3462
274.6 IPS |
|
|
Object Detection (HP)
|
100% |
3417
271.0 IPS |
|
|
Object Detection (Q)
|
87% |
5160
413.8 IPS |
|
|
Face Detection (SP)
|
100% |
9675
115.0 IPS |
|
|
Face Detection (HP)
|
100% |
9673
114.9 IPS |
|
|
Face Detection (Q)
|
97% |
15470
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9165
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9205
70.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
14790
116.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20109
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20186
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38737
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4269
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4280
158.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7814
289.5 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4516
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4513
77.7 IPS |
