IceWhale Technology Co.,Ltd. ZimaBoard2
Geekbench AI Score
1396
Single Precision Score
2158
Half Precision Score
3117
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | leow149 |
| Upload Date | October 04 2025 08:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
866
161.0 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
99% |
1934
360.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2580
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2136
2.49 IPS |
|
|
Pose Estimation (HP)
|
99% |
1800
2.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
6203
7.26 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
99% |
1263
100.1 IPS |
|
|
Object Detection (Q)
|
90% |
2059
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
5340
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2619
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4664
36.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
5948
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5922
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
9221
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15166
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3114
115.3 IPS |
|
|
Text Classification (SP)
|
71% |
605
875.2 IPS |
|
|
Text Classification (HP)
|
71% |
738
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
765
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (HP)
|
98% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1186
20.4 IPS |
