HP HP Laptop 15s-eq1xxx
Geekbench AI Score
2045
Single Precision Score
2567
Half Precision Score
1512
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 12:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | HP HP Laptop 15s-eq1xxx |
| Motherboard | HP 8707 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
809
150.4 IPS |
|
|
Image Classification (HP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (Q)
|
99% |
673
125.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7527
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
13410
15.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
6390
7.48 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
89% |
809
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
2024
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
1569
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4625
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6308
48.6 IPS |
|
|
Depth Estimation (Q)
|
71% |
3430
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13110
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21128
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10790
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2926
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2050
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.8 IPS |
|
|
Text Classification (HP)
|
100% |
652
870.8 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
60% |
435
9.80 IPS |
