HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
1089
Single Precision Score
494
Half Precision Score
2086
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 03:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-f2xxx |
| Motherboard | HP 891F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
99% |
1900
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1350
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2653
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1501
1.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
8605
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
2401
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (Q)
|
97% |
4401
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3986
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
843
6.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
5843
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4642
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2985
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
5378
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1752
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.7 IPS |
|
|
Text Classification (Q)
|
97% |
130
174.0 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
65% |
936
18.8 IPS |
