HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
2738
Single Precision Score
1038
Half Precision Score
4104
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Neredera |
| Upload Date | February 20 2025 11:47 PM |
| Views | 1 |
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 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% |
2260
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (Q)
|
99% |
4265
795.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2131
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2572
3.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
16828
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2013
159.7 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
3823
307.3 IPS |
|
|
Face Detection (SP)
|
100% |
5597
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
6544
78.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5688
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1505
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11210
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10039
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6659
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
15296
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2694
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.3 IPS |
|
|
Text Classification (Q)
|
97% |
404
541.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.83 IPS |
|
|
Machine Translation (Q)
|
65% |
1901
38.2 IPS |
