HP HP 240 G8 Notebook PC
Geekbench AI Score
908
Single Precision Score
519
Half Precision Score
1682
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 02:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | HP HP 240 G8 Notebook PC |
| Motherboard | HP 868C |
| Power Plan | HP |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
99% |
1435
267.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
3663
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
1289
103.6 IPS |
|
|
Face Detection (SP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (Q)
|
97% |
2842
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
761
5.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
3475
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2773
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2136
2.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6500
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1491
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.4 IPS |
|
|
Text Classification (HP)
|
100% |
403
538.2 IPS |
|
|
Text Classification (Q)
|
97% |
345
461.8 IPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (Q)
|
65% |
1220
24.5 IPS |
