HP HP Envy x360 2-in-1 Laptop 16-ad0xxx
Geekbench AI Score
4424
Single Precision Score
4406
Half Precision Score
13860
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | suswishwhoa |
| Upload Date | November 05 2024 03:51 PM |
| Views | 2 |
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 16-ad0xxx |
| Motherboard | HP 8C6A |
| 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% |
3612
671.8 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.9 IPS |
|
|
Image Classification (Q)
|
100% |
9675
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7656
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5615
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5780
6.74 IPS |
|
|
Pose Estimation (Q)
|
98% |
26276
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (HP)
|
100% |
2883
228.7 IPS |
|
|
Object Detection (Q)
|
88% |
9566
766.8 IPS |
|
|
Face Detection (SP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
5812
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
22408
266.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6269
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5418
41.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
20128
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14821
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15584
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
73500
94.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3896
143.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14497
536.9 IPS |
|
|
Text Classification (SP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (Q)
|
92% |
5438
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5380
92.7 IPS |
