AVITA NS14A6
Geekbench AI Score
636
Single Precision Score
239
Half Precision Score
621
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | amolpatre |
| Upload Date | August 31 2024 07:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | AVITA NS14A6 |
| Motherboard | AVITA 6Q14DR5M80 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
495
92.0 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.1 IPS |
|
|
Image Classification (Q)
|
97% |
412
76.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
378
6.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (Q)
|
87% |
947
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
88
7.01 IPS |
|
|
Object Detection (Q)
|
86% |
373
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
142
1.68 IPS |
|
|
Face Detection (Q)
|
96% |
1003
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1209
9.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
367
2.83 IPS |
|
|
Depth Estimation (Q)
|
76% |
1065
8.58 IPS |
|
|
Style Transfer (SP)
|
100% |
2494
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2053
2.64 IPS |
|
|
Style Transfer (Q)
|
87% |
2603
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
535
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.3 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.4 IPS |
|
|
Text Classification (Q)
|
97% |
204
272.9 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
60% |
519
11.6 IPS |
