HP HP Laptop 15-fd1xxx
Geekbench AI Score
2728
Single Precision Score
9031
Half Precision Score
13957
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 19 2025 05:45 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (HP)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8812
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3120
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
30343
35.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64322
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
100% |
5496
435.9 IPS |
|
|
Object Detection (Q)
|
88% |
9235
740.4 IPS |
|
|
Face Detection (SP)
|
100% |
4649
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
15549
184.8 IPS |
|
|
Face Detection (Q)
|
100% |
29304
348.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4221
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16617
128.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30365
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9824
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
47696
61.3 IPS |
|
|
Style Transfer (Q)
|
98% |
87383
112.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14268
526.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27554
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1895
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1885
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4255
73.3 IPS |
