HP HP ProBook 4 G1iR 14 inch Notebook PC
Geekbench AI Score
2238
Single Precision Score
2316
Half Precision Score
1431
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 07:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 4 G1iR 14 inch Notebook PC |
| Motherboard | HP 8E2E |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 5 220U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (Q)
|
100% |
818
152.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8235
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
9558
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
4564
5.35 IPS |
|
|
Object Detection (SP)
|
100% |
1119
88.8 IPS |
|
|
Object Detection (HP)
|
98% |
971
77.3 IPS |
|
|
Object Detection (Q)
|
86% |
930
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
1554
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4655
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5338
41.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3238
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18614
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24053
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11912
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3583
132.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1208
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
646
861.7 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.7 IPS |
|
|
Text Classification (Q)
|
97% |
357
477.9 IPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
395
7.42 IPS |
