Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
5816
Single Precision Score
5870
Half Precision Score
8518
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mkbamumin |
| Upload Date | December 17 2025 04:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| 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% |
3822
710.7 IPS |
|
|
Image Classification (HP)
|
100% |
3732
694.1 IPS |
|
|
Image Classification (Q)
|
100% |
5629
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4470
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4423
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6746
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7091
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7103
8.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
14687
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
3512
278.6 IPS |
|
|
Object Detection (HP)
|
100% |
3529
279.9 IPS |
|
|
Object Detection (Q)
|
87% |
5886
472.0 IPS |
|
|
Face Detection (SP)
|
100% |
7771
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.7 IPS |
|
|
Face Detection (Q)
|
97% |
15753
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8773
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8800
67.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
16068
126.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20462
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42665
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4264
157.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8533
316.1 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (Q)
|
91% |
1293
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5406
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5316
91.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5142
88.6 IPS |
