Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
3227
Single Precision Score
1524
Half Precision Score
5532
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mkbamumin |
| Upload Date | December 17 2025 02:59 PM |
| Views | 15 |
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% |
2499
464.8 IPS |
|
|
Image Classification (HP)
|
100% |
591
110.0 IPS |
|
|
Image Classification (Q)
|
96% |
4943
923.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
5970
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4569
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
11113
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (Q)
|
58% |
3449
376.8 IPS |
|
|
Face Detection (SP)
|
100% |
4712
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (Q)
|
96% |
8307
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5992
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2059
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10416
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11787
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9670
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
15044
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4045
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
68% |
3197
61.8 IPS |
