HP HP Laptop 15-fd1xxx
Geekbench AI Score
2352
Single Precision Score
2300
Half Precision Score
5598
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danderso567 |
| Upload Date | April 24 2025 04:17 AM |
| Views | 4 |
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% |
1501
279.1 IPS |
|
|
Image Classification (HP)
|
100% |
1533
285.0 IPS |
|
|
Image Classification (Q)
|
100% |
4716
877.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4408
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3289
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
10606
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.8 IPS |
|
|
Object Detection (Q)
|
88% |
3410
273.3 IPS |
|
|
Face Detection (SP)
|
100% |
4011
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4134
49.1 IPS |
|
|
Face Detection (Q)
|
100% |
7708
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2990
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2954
22.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
7469
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7748
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8136
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27683
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1523
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6281
232.6 IPS |
|
|
Text Classification (SP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
2918
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1378
23.7 IPS |
