HP HP Envy x360 2-in-1 Laptop 15-fh0xxx
Geekbench AI Score
1141
Single Precision Score
507
Half Precision Score
1707
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RMAlhazmi |
| Upload Date | April 06 2025 07:11 PM |
| Views | 18 |
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% |
811
150.9 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
96% |
1425
266.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
921
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1640
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1466
1.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
3607
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
58% |
1083
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
1947
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
529
6.28 IPS |
|
|
Face Detection (Q)
|
96% |
2785
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2259
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
769
5.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
3759
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4400
5.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3580
4.60 IPS |
|
|
Style Transfer (Q)
|
87% |
6325
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1032
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.8 IPS |
|
|
Text Classification (HP)
|
100% |
245
327.2 IPS |
|
|
Text Classification (Q)
|
97% |
520
697.0 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
68% |
1156
22.3 IPS |
