ICL Bi1503
Geekbench AI Score
210
Single Precision Score
122
Half Precision Score
349
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | FidanKazan |
| Upload Date | February 04 2025 05:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium Silver N5030 |
| 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% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.5 IPS |
|
|
Image Classification (Q)
|
96% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
93
1.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
272
4.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
192
0.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
579
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
65
5.15 IPS |
|
|
Object Detection (Q)
|
58% |
180
19.7 IPS |
|
|
Face Detection (SP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (HP)
|
100% |
159
1.88 IPS |
|
|
Face Detection (Q)
|
96% |
559
6.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
286
2.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
166
1.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
558
4.44 IPS |
|
|
Style Transfer (SP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
87% |
1076
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
94
3.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
235
8.69 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.7 IPS |
|
|
Text Classification (HP)
|
100% |
78
103.5 IPS |
|
|
Text Classification (Q)
|
97% |
128
171.8 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
97
1.67 IPS |
|
|
Machine Translation (Q)
|
68% |
285
5.50 IPS |
