HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
508
Single Precision Score
309
Half Precision Score
674
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Krish3003 |
| Upload Date | November 27 2025 06:37 PM |
| Views | 5 |
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 14-eu0xxx |
| Motherboard | HP 8C15 |
| 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% |
1777
330.5 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
99% |
1903
354.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
3103
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3621
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2507
2.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
2096
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
86% |
192
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (HP)
|
100% |
156
1.85 IPS |
|
|
Face Detection (Q)
|
97% |
540
6.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1143
8.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
361
2.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
622
4.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1980
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1571
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
2962
3.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
325
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
62
82.8 IPS |
|
|
Text Classification (HP)
|
100% |
31
41.9 IPS |
|
|
Text Classification (Q)
|
97% |
101
135.7 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
65% |
252
5.06 IPS |
