HP HP Envy x360 2-in-1 Laptop 15-fh0xxx
Geekbench AI Score
1618
Single Precision Score
825
Half Precision Score
2605
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | raalotaibi |
| Upload Date | October 21 2025 12:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fh0xxx |
| Motherboard | HP 8BE9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1038
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
2453
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2863
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
6501
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
58% |
1380
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
2285
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
863
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
3815
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3156
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1273
9.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
5014
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7147
9.19 IPS |
|
|
Style Transfer (HP)
|
100% |
6402
8.23 IPS |
|
|
Style Transfer (Q)
|
87% |
8418
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1884
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
385
513.5 IPS |
|
|
Text Classification (Q)
|
97% |
672
899.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1403
27.1 IPS |
