HP HP Laptop 15-fd1xxx
Geekbench AI Score
2644
Single Precision Score
2688
Half Precision Score
6389
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danderso567 |
| Upload Date | April 26 2025 02:14 AM |
| Views | 7 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.2 IPS |
|
|
Image Classification (Q)
|
100% |
4864
904.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4523
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3480
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
10737
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (Q)
|
88% |
4659
373.4 IPS |
|
|
Face Detection (SP)
|
100% |
4823
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
4916
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
9409
111.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4088
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4235
32.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11574
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9369
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9860
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30606
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6443
238.6 IPS |
|
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
3088
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1554
26.8 IPS |
