HP HP Laptop 14-dk1xxx
Geekbench AI Score
375
Single Precision Score
253
Half Precision Score
376
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | brianl831 |
| Upload Date | September 15 2025 04:54 AM |
| 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% |
291
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
96% |
260
48.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
261
4.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
479
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
58% |
184
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
598
7.10 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.77 IPS |
|
|
Face Detection (Q)
|
96% |
697
8.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
580
4.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
360
2.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
612
4.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1179
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1015
1.31 IPS |
|
|
Style Transfer (Q)
|
87% |
1211
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
290
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
267
357.0 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.6 IPS |
|
|
Text Classification (Q)
|
97% |
156
209.5 IPS |
|
|
Machine Translation (SP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
68% |
414
7.99 IPS |
