ICL Bi1503
Geekbench AI Score
222
Single Precision Score
215
Half Precision Score
458
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | FidanKazan |
| Upload Date | February 04 2025 06:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Pentium(R) Silver N5030 CPU @ 1.10GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | ICL Bi1503 |
| Motherboard | ICL NL4x_5xGU1 |
| CPU Information | |
|---|---|
| Name | Intel Pentium Silver N5030 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.4 IPS |
|
|
Image Classification (Q)
|
100% |
390
72.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
491
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
243
0.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
559
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.54 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (Q)
|
87% |
282
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
389
4.63 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
810
9.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.30 IPS |
|
|
Depth Estimation (Q)
|
81% |
694
5.48 IPS |
|
|
Style Transfer (SP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
531
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1760
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.29 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
336
12.5 IPS |
|
|
Text Classification (SP)
|
100% |
132
176.2 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.3 IPS |
|
|
Text Classification (Q)
|
91% |
228
306.5 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (Q)
|
100% |
180
3.09 IPS |
