Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
3159
Single Precision Score
3139
Half Precision Score
3467
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | SubLexx |
| Upload Date | November 27 2025 11:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (Q)
|
100% |
2180
405.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2727
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4784
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
5352
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (HP)
|
100% |
1993
158.0 IPS |
|
|
Object Detection (Q)
|
87% |
2125
170.5 IPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (Q)
|
97% |
7228
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5358
41.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
6140
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13454
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13585
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15064
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2666
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3006
111.4 IPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (Q)
|
91% |
646
868.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2866
49.4 IPS |
