HP HP Laptop 15s-eq3xxx
Geekbench AI Score
1683
Single Precision Score
797
Half Precision Score
2381
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | yfalqurashi |
| Upload Date | April 08 2025 10:55 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15s-eq3xxx |
| Motherboard | HP 89FC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
317
59.0 IPS |
|
|
Image Classification (Q)
|
96% |
2593
484.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1652
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2198
2.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
4638
5.48 IPS |
|
|
Object Detection (SP)
|
100% |
1162
92.2 IPS |
|
|
Object Detection (HP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (Q)
|
58% |
1649
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
96% |
4074
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3697
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1174
9.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
2836
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7145
9.19 IPS |
|
|
Style Transfer (HP)
|
100% |
4975
6.40 IPS |
|
|
Style Transfer (Q)
|
87% |
9697
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1025
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1222
45.3 IPS |
|
|
Text Classification (SP)
|
100% |
624
833.0 IPS |
|
|
Text Classification (HP)
|
100% |
384
512.7 IPS |
|
|
Text Classification (Q)
|
97% |
882
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
68% |
1485
28.7 IPS |
