HP HP Laptop 15-dw3xxx
Geekbench AI Score
1838
Single Precision Score
852
Half Precision Score
3120
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fisalxy |
| Upload Date | April 12 2025 09:11 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Laptop 15-dw3xxx |
| Motherboard | HP 881E |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
3477
648.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1526
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2827
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1682
1.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
9845
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
2825
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
5080
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3869
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1288
9.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
7362
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5764
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4865
6.25 IPS |
|
|
Style Transfer (Q)
|
98% |
10509
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2579
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
478
637.6 IPS |
|
|
Text Classification (Q)
|
97% |
371
497.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
65% |
1579
31.7 IPS |
