HP HP Laptop 15s-eq2xxx
Geekbench AI Score
993
Single Precision Score
565
Half Precision Score
1438
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 09:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 5300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15s-eq2xxx |
| Motherboard | HP 887A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 5300U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
96% |
1008
188.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
1234
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1341
1.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
2176
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
58% |
737
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
656
7.80 IPS |
|
|
Face Detection (Q)
|
96% |
2379
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1864
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
2666
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3722
4.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3335
4.29 IPS |
|
|
Style Transfer (Q)
|
87% |
4146
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1151
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
567
757.0 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.6 IPS |
|
|
Text Classification (Q)
|
97% |
606
811.4 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
68% |
1036
20.0 IPS |
