HP HP Envy x360 2-in-1 Laptop 14-fa0xxx
Geekbench AI Score
4633
Single Precision Score
4567
Half Precision Score
13670
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | kzk |
| Upload Date | October 05 2024 02:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 14-fa0xxx |
| Motherboard | HP 8C69 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3320
617.4 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
100% |
9360
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7951
128.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5762
6.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
26978
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (Q)
|
88% |
9171
735.2 IPS |
|
|
Face Detection (SP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
5416
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
19951
237.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8602
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7956
61.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
24155
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18053
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18273
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
73568
94.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3901
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14279
528.8 IPS |
|
|
Text Classification (SP)
|
100% |
3446
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (Q)
|
92% |
5332
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4608
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4000
68.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4585
79.0 IPS |
