HP HP Pavilion Gaming Laptop 17-cd0xxx
Geekbench AI Score
8283
Single Precision Score
6549
Half Precision Score
6069
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:37 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% |
3009
559.6 IPS |
|
|
Image Classification (HP)
|
100% |
2825
525.4 IPS |
|
|
Image Classification (Q)
|
99% |
2626
489.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5968
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5178
83.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5119
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36858
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22905
26.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32272
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4214
334.3 IPS |
|
|
Object Detection (HP)
|
100% |
3954
313.7 IPS |
|
|
Object Detection (Q)
|
83% |
3504
283.1 IPS |
|
|
Face Detection (SP)
|
100% |
10042
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
8483
100.8 IPS |
|
|
Face Detection (Q)
|
97% |
8475
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20811
160.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16119
124.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15696
125.2 IPS |
|
|
Style Transfer (SP)
|
100% |
62924
80.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44661
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54429
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12059
445.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9854
363.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7979
295.4 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
685
918.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2375
41.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1127
21.1 IPS |
