Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
21449
Single Precision Score
24000
Half Precision Score
16417
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mkbamumin |
| Upload Date | December 17 2025 07:56 PM |
| Views | 6 |
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% |
9319
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9118
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
7922
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14246
230.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11066
179.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11624
189.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
118037
137.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
192216
224.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
103901
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
9900
785.3 IPS |
|
|
Object Detection (HP)
|
100% |
8887
704.9 IPS |
|
|
Object Detection (Q)
|
87% |
8454
678.9 IPS |
|
|
Face Detection (SP)
|
100% |
27924
331.8 IPS |
|
|
Face Detection (HP)
|
100% |
30798
365.9 IPS |
|
|
Face Detection (Q)
|
97% |
22014
262.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
50843
391.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
61607
474.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
37840
303.9 IPS |
|
|
Style Transfer (SP)
|
100% |
219210
281.8 IPS |
|
|
Style Transfer (HP)
|
100% |
282552
363.2 IPS |
|
|
Style Transfer (Q)
|
98% |
173548
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35411
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42480
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24377
902.6 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1862
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4943
85.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2680
50.3 IPS |
