HP HP Laptop 15s-eq1xxx
Geekbench AI Score
2790
Single Precision Score
2893
Half Precision Score
3483
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | epitgtb29 |
| Upload Date | August 25 2025 06:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 4700U with Radeon 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% |
1692
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
1740
323.6 IPS |
|
|
Image Classification (Q)
|
100% |
2509
466.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2895
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4205
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
5279
6.19 IPS |
|
|
Object Detection (SP)
|
100% |
1714
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (Q)
|
87% |
2287
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
7204
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3584
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5004
38.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
6437
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11682
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11749
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15118
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3224
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (Q)
|
91% |
621
834.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2138
36.8 IPS |
