HP HP Envy x360 2-in-1 Laptop 16-ad0xxx
Geekbench AI Score
2769
Single Precision Score
1386
Half Precision Score
3597
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | suswishwhoa |
| Upload Date | November 05 2024 03:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| 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% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
99% |
4137
771.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2347
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4339
5.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
21477
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
88% |
2000
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
2468
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
4198
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5989
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2026
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4309
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12218
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11561
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20000
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3129
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.2 IPS |
|
|
Text Classification (Q)
|
97% |
420
562.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (Q)
|
60% |
1830
40.8 IPS |
