ICL Bi1503
Geekbench AI Score
327
Single Precision Score
451
Half Precision Score
444
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | FidanKazan |
| Upload Date | February 04 2025 07:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 605 (iGPU) |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
100% |
355
66.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
456
7.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
749
0.87 IPS |
|
|
Pose Estimation (HP)
|
99% |
793
0.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
1141
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
99% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
88% |
221
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
818
9.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
1022
7.90 IPS |
|
|
Depth Estimation (Q)
|
89% |
785
6.11 IPS |
|
|
Style Transfer (SP)
|
100% |
1211
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2079
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
374
13.9 IPS |
|
|
Text Classification (SP)
|
71% |
86
125.0 IPS |
|
|
Text Classification (HP)
|
71% |
121
175.3 IPS |
|
|
Text Classification (Q)
|
92% |
102
136.9 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (HP)
|
97% |
179
3.10 IPS |
|
|
Machine Translation (Q)
|
98% |
146
2.52 IPS |
