Micro-Star International Co., Ltd. MS-7A37
Geekbench AI Score
10676
Single Precision Score
12630
Half Precision Score
7854
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lida289 |
| Upload Date | December 15 2025 05:09 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A37 |
| Motherboard | Micro-Star International Co., Ltd. B350M MORTAR (MS-7A37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4325
804.3 IPS |
|
|
Image Classification (HP)
|
100% |
5387
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
3600
669.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6146
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6601
107.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5254
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
65746
76.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95665
111.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
54795
64.2 IPS |
|
|
Object Detection (SP)
|
100% |
4968
394.0 IPS |
|
|
Object Detection (HP)
|
100% |
5128
406.8 IPS |
|
|
Object Detection (Q)
|
88% |
4164
333.8 IPS |
|
|
Face Detection (SP)
|
100% |
13360
158.7 IPS |
|
|
Face Detection (HP)
|
100% |
15207
180.7 IPS |
|
|
Face Detection (Q)
|
97% |
11024
131.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26096
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
31302
241.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
19671
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
114701
147.4 IPS |
|
|
Style Transfer (HP)
|
100% |
172952
222.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93416
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15345
566.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18729
691.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11426
423.1 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1076
20.2 IPS |
