Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
21157
Single Precision Score
23782
Half Precision Score
16259
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mkbamumin |
| Upload Date | December 17 2025 07:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 XT |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9265
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9023
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
7897
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14363
232.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11194
181.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11670
189.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
123841
144.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
187343
218.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
103068
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
9745
773.0 IPS |
|
|
Object Detection (HP)
|
100% |
8884
704.7 IPS |
|
|
Object Detection (Q)
|
87% |
8457
679.2 IPS |
|
|
Face Detection (SP)
|
100% |
27918
331.7 IPS |
|
|
Face Detection (HP)
|
100% |
30525
362.7 IPS |
|
|
Face Detection (Q)
|
97% |
22035
262.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
50562
389.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
61522
474.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
35992
289.0 IPS |
|
|
Style Transfer (SP)
|
100% |
215109
276.5 IPS |
|
|
Style Transfer (HP)
|
100% |
280959
361.2 IPS |
|
|
Style Transfer (Q)
|
98% |
167492
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35236
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42133
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24375
902.6 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3143
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1862
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2667
50.0 IPS |
