Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
2583
Single Precision Score
1268
Half Precision Score
4344
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Ricktheslickster |
| Upload Date | July 19 2025 04:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1974
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.3 IPS |
|
|
Image Classification (Q)
|
96% |
3809
711.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4501
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3823
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
8898
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
58% |
2586
282.6 IPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
6459
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5343
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1891
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7912
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9036
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8247
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11320
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3327
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1348
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2341
45.2 IPS |
