Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
1176
Single Precision Score
617
Half Precision Score
1255
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ricktheslickster |
| Upload Date | June 21 2025 09:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. A520M PRO (MS-7D14) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
976
181.4 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
96% |
825
154.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
998
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2254
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
1667
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
58% |
614
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (Q)
|
96% |
2191
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1670
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1016
7.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
2041
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3319
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2883
3.71 IPS |
|
|
Style Transfer (Q)
|
87% |
3875
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
943
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.1 IPS |
|
|
Text Classification (HP)
|
100% |
355
474.3 IPS |
|
|
Text Classification (Q)
|
97% |
620
830.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1136
22.0 IPS |
