HP HP Laptop 14-dk1xxx
Geekbench AI Score
892
Single Precision Score
1189
Half Precision Score
684
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | brianl831 |
| Upload Date | September 15 2025 05:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 14-dk1xxx |
| Motherboard | HP 879E |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3250U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
435
81.0 IPS |
|
|
Image Classification (Q)
|
100% |
347
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
323
5.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5289
6.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
2472
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (Q)
|
88% |
378
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (HP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
712
8.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
1836
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2771
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
1491
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5092
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
8207
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
4212
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
876
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.3 IPS |
|
|
Text Classification (HP)
|
100% |
384
512.8 IPS |
|
|
Text Classification (Q)
|
97% |
203
271.6 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
70% |
271
5.08 IPS |
