HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx
Geekbench AI Score
3175
Single Precision Score
1276
Half Precision Score
5939
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
2425
450.9 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
99% |
5051
942.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7288
118.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5225
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
18710
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (Q)
|
86% |
4887
392.7 IPS |
|
|
Face Detection (SP)
|
100% |
6937
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
6780
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6730
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1856
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11969
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12325
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8687
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19058
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3917
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.1 IPS |
|
|
Text Classification (Q)
|
97% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2352
47.3 IPS |
