Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
2421
Single Precision Score
1210
Half Precision Score
4459
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lazlo73 |
| Upload Date | October 07 2025 02:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600GT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1824
339.1 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
96% |
4094
764.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
4477
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3513
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3021
3.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
8544
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
58% |
2795
305.4 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
96% |
6528
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4896
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1731
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8203
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8886
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7221
9.28 IPS |
|
|
Style Transfer (Q)
|
87% |
12403
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3344
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1301
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2458
47.5 IPS |
