Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
2902
Single Precision Score
1306
Half Precision Score
4667
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mkbamumin |
| Upload Date | December 17 2025 08:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| 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% |
2262
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
96% |
4079
761.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4698
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4087
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3531
4.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
9006
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2014
159.7 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
58% |
2715
296.7 IPS |
|
|
Face Detection (SP)
|
100% |
4515
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (Q)
|
96% |
7087
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5343
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1790
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8719
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10376
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8580
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13703
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3357
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2940
56.8 IPS |
