Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
6289
Single Precision Score
6838
Half Precision Score
4585
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 24 2025 07:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A380 Graphics |
| 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% |
3623
673.8 IPS |
|
|
Image Classification (HP)
|
100% |
4058
754.7 IPS |
|
|
Image Classification (Q)
|
99% |
3070
572.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5191
84.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2456
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25836
30.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
25564
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
20486
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3962
314.3 IPS |
|
|
Object Detection (HP)
|
99% |
4278
340.3 IPS |
|
|
Object Detection (Q)
|
85% |
3328
267.8 IPS |
|
|
Face Detection (SP)
|
100% |
6958
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
6454
76.7 IPS |
|
|
Face Detection (Q)
|
97% |
5009
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16163
124.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
17610
136.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11928
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54527
70.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55384
71.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38389
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9451
349.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12671
467.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5936
219.8 IPS |
|
|
Text Classification (SP)
|
86% |
840
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
747
996.6 IPS |
|
|
Text Classification (Q)
|
84% |
622
844.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (Q)
|
70% |
945
17.7 IPS |
