HP HP Envy x360 2-in-1 Laptop 14-fa0xxx
Geekbench AI Score
2782
Single Precision Score
4702
Half Precision Score
1976
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon TM 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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (HP)
|
100% |
1768
328.8 IPS |
|
|
Image Classification (Q)
|
100% |
789
146.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1074
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14661
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34463
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
22107
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (HP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (Q)
|
89% |
717
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
1417
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6351
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11114
85.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
4485
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28471
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53840
69.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17769
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5177
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8402
310.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3167
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (Q)
|
97% |
359
480.3 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
60% |
528
11.8 IPS |
