ICL Bi1503
Geekbench AI Score
244
Single Precision Score
294
Half Precision Score
188
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | FidanKazan |
| Upload Date | February 04 2025 06:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 605 |
| 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% |
90
16.8 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
100% |
81
15.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
169
2.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1026
1.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
519
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.28 IPS |
|
|
Object Detection (HP)
|
98% |
99
7.85 IPS |
|
|
Object Detection (Q)
|
86% |
74
5.94 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (HP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (Q)
|
97% |
221
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
395
3.04 IPS |
|
|
Depth Estimation (HP)
|
98% |
528
4.08 IPS |
|
|
Depth Estimation (Q)
|
77% |
325
2.61 IPS |
|
|
Style Transfer (SP)
|
100% |
1323
1.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1803
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1390
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
217
8.02 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.1 IPS |
|
|
Text Classification (HP)
|
100% |
88
116.9 IPS |
|
|
Text Classification (Q)
|
97% |
87
116.6 IPS |
|
|
Machine Translation (SP)
|
100% |
115
1.99 IPS |
|
|
Machine Translation (HP)
|
100% |
108
1.87 IPS |
|
|
Machine Translation (Q)
|
70% |
58
1.09 IPS |
