HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx
Geekbench AI Score
939
Single Precision Score
427
Half Precision Score
1577
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DelanLn |
| Upload Date | January 27 2025 06:17 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx |
| Motherboard | HP 8C17 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.3 IPS |
|
|
Image Classification (Q)
|
99% |
3267
609.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1089
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2111
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1356
1.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
6022
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
86% |
819
65.8 IPS |
|
|
Face Detection (SP)
|
100% |
1317
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (Q)
|
97% |
2500
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
615
4.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
1407
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3645
4.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2114
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
5397
6.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
849
31.4 IPS |
|
|
Text Classification (SP)
|
100% |
504
672.7 IPS |
|
|
Text Classification (HP)
|
100% |
285
379.9 IPS |
|
|
Text Classification (Q)
|
97% |
463
620.8 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
65% |
727
14.6 IPS |
