HP HP Envy x360 2-in-1 Laptop 15-fh0xxx
Geekbench AI Score
1891
Single Precision Score
952
Half Precision Score
3575
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | LSTurkestani |
| Upload Date | November 13 2025 10:46 PM |
| Views | 3 |
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% |
1430
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
96% |
3142
586.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
3500
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2675
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
6846
8.09 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
2141
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
5322
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3704
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1428
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6691
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6981
8.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5737
7.38 IPS |
|
|
Style Transfer (Q)
|
87% |
9925
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2899
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
634
845.6 IPS |
|
|
Text Classification (Q)
|
97% |
1144
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (Q)
|
68% |
1807
34.9 IPS |
