HP HP Pavilion Laptop 15t-cs300
Geekbench AI Score
1227
Single Precision Score
645
Half Precision Score
2242
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | anisqazi |
| Upload Date | December 03 2024 06:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Laptop 15t-cs300 |
| Motherboard | HP 86AB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
892
165.9 IPS |
|
|
Image Classification (HP)
|
100% |
269
49.9 IPS |
|
|
Image Classification (Q)
|
99% |
2374
442.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1583
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1489
1.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
7152
8.39 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (Q)
|
86% |
2115
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
97% |
3621
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2626
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
988
7.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
4794
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3492
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3230
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
7360
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2017
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
355
474.5 IPS |
|
|
Text Classification (Q)
|
97% |
281
376.1 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
65% |
1069
21.5 IPS |
