HP HP Dragonfly 13.5 inch G4 Notebook PC
Geekbench AI Score
2340
Single Precision Score
2285
Half Precision Score
4836
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1365U |
| 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% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
1226
227.9 IPS |
|
|
Image Classification (Q)
|
100% |
2596
482.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2592
3.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
9337
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
1232
97.7 IPS |
|
|
Object Detection (Q)
|
88% |
2883
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
7748
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3668
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3685
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
8103
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8496
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8894
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26287
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4263
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1943
33.5 IPS |
