HP HP Laptop 15-fd1xxx
Geekbench AI Score
2802
Single Precision Score
8690
Half Precision Score
13210
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danderso567 |
| Upload Date | April 24 2025 04:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 15-fd1xxx |
| Motherboard | HP 8CAC |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
6195
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8727
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3980
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
30453
35.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
66347
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
100% |
5403
428.5 IPS |
|
|
Object Detection (Q)
|
87% |
8770
703.8 IPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
15139
179.9 IPS |
|
|
Face Detection (Q)
|
100% |
28655
340.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4104
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16323
125.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30038
233.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9868
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45842
58.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81885
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1962
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12572
464.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21086
780.9 IPS |
|
|
Text Classification (SP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3906
67.3 IPS |
