HP HP ProBook 440 G8 Notebook PC
Geekbench AI Score
1961
Single Precision Score
945
Half Precision Score
3760
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | October 29 2025 08:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 G8 Notebook PC |
| Motherboard | HP 8A74 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
99% |
3622
675.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1571
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2085
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
10335
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
86% |
3606
289.8 IPS |
|
|
Face Detection (SP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
5495
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4181
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1446
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8167
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7462
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
5767
7.41 IPS |
|
|
Style Transfer (Q)
|
98% |
9782
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2617
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
1206
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.5 IPS |
|
|
Text Classification (Q)
|
97% |
1250
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
65% |
1858
37.3 IPS |
