COPELION INTERNATIONAL INC. MX Series
Geekbench AI Score
2263
Single Precision Score
927
Half Precision Score
2730
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | COPELION INTERNATIONAL INC. MX Series |
| Motherboard | COPELION INTERNATIONAL INC. MX Series |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1742
324.0 IPS |
|
|
Image Classification (HP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (Q)
|
96% |
2824
527.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
1564
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3942
4.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
7278
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.7 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
1883
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
5639
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6816
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11757
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9638
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11805
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1589
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.3 IPS |
|
|
Text Classification (HP)
|
100% |
386
514.7 IPS |
|
|
Text Classification (Q)
|
97% |
314
421.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
68% |
1683
32.5 IPS |
