AZW U59
Geekbench AI Score
381
Single Precision Score
213
Half Precision Score
546
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 09 2024 02:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Celeron(R) N5095 @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | AZW U59 |
| Motherboard | AZW U59 |
| CPU Information | |
|---|---|
| Name | Intel(R) Celeron(R) N5095 @ 2.00GHz |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (Q)
|
96% |
428
79.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
389
6.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
318
0.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
880
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.80 IPS |
|
|
Object Detection (Q)
|
58% |
300
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (Q)
|
96% |
940
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
612
4.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
320
2.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
946
7.53 IPS |
|
|
Style Transfer (SP)
|
100% |
1068
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
905
1.16 IPS |
|
|
Style Transfer (Q)
|
87% |
1795
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
255
9.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.0 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.1 IPS |
|
|
Text Classification (Q)
|
97% |
181
242.9 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
159
2.74 IPS |
|
|
Machine Translation (Q)
|
68% |
421
8.14 IPS |
