Firebat_Computer ZY-AK2PLUS
Geekbench AI Score
557
Single Precision Score
316
Half Precision Score
1033
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 01:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Firebat_Computer ZY-AK2PLUS |
| Motherboard | Default string Default string |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
99% |
610
113.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
536
8.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
1777
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
86% |
787
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
97% |
1654
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
945
7.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
465
3.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
1867
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1846
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1422
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3084
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
719
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.8 IPS |
|
|
Text Classification (HP)
|
100% |
233
311.2 IPS |
|
|
Text Classification (Q)
|
97% |
569
762.1 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
65% |
780
15.7 IPS |
