IceWhale Technology Co.,Ltd. ZimaBoard2
Geekbench AI Score
660
Single Precision Score
653
Half Precision Score
427
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | leow149 |
| Upload Date | October 04 2025 08:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | IceWhale Technology Co.,Ltd. ZimaBoard2 |
| Motherboard | IceWhale Technology Co.,Ltd. ZimaBoard2 |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
329
5.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
608
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
85% |
280
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
709
8.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
812
6.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
800
6.16 IPS |
|
|
Depth Estimation (Q)
|
63% |
544
5.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1267
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1272
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1448
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
352
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.6 IPS |
|
|
Text Classification (HP)
|
100% |
612
816.7 IPS |
|
|
Text Classification (Q)
|
92% |
266
357.9 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
58% |
253
5.95 IPS |
