HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
1794
Single Precision Score
1747
Half Precision Score
4113
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | October 09 2024 03:12 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
831
154.5 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (Q)
|
100% |
2149
399.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2275
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3865
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
11456
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (HP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (Q)
|
88% |
1951
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (Q)
|
100% |
5135
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2779
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6291
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10502
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11168
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27076
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3738
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.7 IPS |
|
|
Text Classification (HP)
|
100% |
472
629.5 IPS |
|
|
Text Classification (Q)
|
92% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1572
27.1 IPS |
