HP HP Laptop 14-dk1xxx
Geekbench AI Score
375
Single Precision Score
250
Half Precision Score
380
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | brianl831 |
| Upload Date | August 13 2025 07:38 PM |
| Views | 8 |
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% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
96% |
282
52.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
275
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
482
0.57 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% |
587
6.98 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (Q)
|
96% |
702
8.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
589
4.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
620
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1120
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
950
1.22 IPS |
|
|
Style Transfer (Q)
|
87% |
1194
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
296
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.1 IPS |
|
|
Text Classification (HP)
|
100% |
196
262.2 IPS |
|
|
Text Classification (Q)
|
97% |
149
200.0 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
68% |
401
7.75 IPS |
