HP HP Laptop 15s-eq1xxx
Geekbench AI Score
2597
Single Precision Score
3313
Half Precision Score
1987
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | epitgtb29 |
| Upload Date | August 25 2025 06:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP Laptop 15s-eq1xxx |
| Motherboard | HP 8707 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4700U |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1065
198.0 IPS |
|
|
Image Classification (HP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (Q)
|
100% |
953
177.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9479
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16949
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8029
9.41 IPS |
|
|
Object Detection (SP)
|
100% |
1235
97.9 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
88% |
1088
87.2 IPS |
|
|
Face Detection (SP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (Q)
|
97% |
2366
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7834
60.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4503
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16292
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26648
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13331
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3510
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2435
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
722
963.3 IPS |
|
|
Text Classification (HP)
|
100% |
748
998.5 IPS |
|
|
Text Classification (Q)
|
97% |
486
651.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
70% |
672
12.6 IPS |
