HP HP Dragonfly 13.5 inch G4 Notebook PC
Geekbench AI Score
2852
Single Precision Score
2838
Half Precision Score
1760
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Dragonfly 13.5 inch G4 Notebook PC |
| Motherboard | HP 8B63 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1133
210.6 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.7 IPS |
|
|
Image Classification (Q)
|
100% |
998
185.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1408
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11367
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11889
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
5702
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.6 IPS |
|
|
Object Detection (HP)
|
98% |
1195
95.1 IPS |
|
|
Object Detection (Q)
|
86% |
1117
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
2017
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5655
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6227
48.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3919
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24310
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30862
39.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14988
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3226
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1394
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
398
531.9 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.4 IPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
70% |
440
8.24 IPS |
