Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
2516
Single Precision Score
1244
Half Precision Score
3448
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 24 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. A520M PRO (MS-7D14) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
96% |
3490
651.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
1677
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
8562
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (Q)
|
58% |
2285
249.7 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (Q)
|
96% |
6799
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4528
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1805
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8175
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8652
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7192
9.25 IPS |
|
|
Style Transfer (Q)
|
87% |
12949
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2696
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
710
948.2 IPS |
|
|
Text Classification (Q)
|
97% |
421
563.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2543
49.1 IPS |
