HP HP Laptop 15s-eq1xxx
Geekbench AI Score
1437
Single Precision Score
816
Half Precision Score
1530
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15s-eq1xxx |
| Motherboard | HP 8707 |
| Power Plan | Ausbalanciert |
| 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 | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
96% |
1090
203.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1138
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2729
3.18 IPS |
|
|
Pose Estimation (Q)
|
87% |
4250
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
86% |
832
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (Q)
|
96% |
1964
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3333
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.78 IPS |
|
|
Depth Estimation (Q)
|
77% |
2759
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7469
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6363
8.18 IPS |
|
|
Style Transfer (Q)
|
87% |
6920
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1061
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1360
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.5 IPS |
|
|
Text Classification (Q)
|
97% |
333
446.5 IPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
60% |
948
21.1 IPS |
