HP HP Laptop 15-fd1xxx
Geekbench AI Score
2381
Single Precision Score
2332
Half Precision Score
5955
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | danderso567 |
| Upload Date | October 19 2025 05:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (Q)
|
100% |
4754
884.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4287
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2789
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
10803
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1144
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (Q)
|
88% |
3658
293.3 IPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
8412
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3516
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3316
25.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9373
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8041
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8697
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31516
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6336
234.6 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3168
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1398
24.1 IPS |
