HP HP Laptop 14-dk1xxx
Geekbench AI Score
373
Single Precision Score
251
Half Precision Score
382
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | brianl831 |
| Upload Date | August 13 2025 08:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3250U |
| 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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (Q)
|
96% |
283
52.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
279
4.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
371
0.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
487
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
58% |
183
20.0 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.11 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
96% |
699
8.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
624
4.98 IPS |
|
|
Style Transfer (SP)
|
100% |
1147
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
972
1.25 IPS |
|
|
Style Transfer (Q)
|
87% |
1203
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
295
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.7 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.8 IPS |
|
|
Text Classification (Q)
|
97% |
154
205.7 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (Q)
|
68% |
400
7.72 IPS |
