HP HP Pavilion Gaming Laptop 17-cd0xxx
Geekbench AI Score
8265
Single Precision Score
6686
Half Precision Score
6049
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 17-cd0xxx |
| Motherboard | HP 85FE |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2912
541.6 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.0 IPS |
|
|
Image Classification (Q)
|
99% |
2550
475.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6103
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5128
83.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5089
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36924
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22522
26.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32563
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4511
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
4048
321.1 IPS |
|
|
Object Detection (Q)
|
83% |
3515
284.0 IPS |
|
|
Face Detection (SP)
|
100% |
10027
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
8581
102.0 IPS |
|
|
Face Detection (Q)
|
97% |
8495
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21341
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15604
120.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15853
126.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62709
80.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43889
56.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54004
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12282
453.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9530
351.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7939
294.0 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
677
906.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2351
40.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1130
21.2 IPS |
