HP HP Laptop 15-fd1xxx
Geekbench AI Score
2834
Single Precision Score
8737
Half Precision Score
13278
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danderso567 |
| Upload Date | April 26 2025 02:23 AM |
| Views | 7 |
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% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
6151
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8569
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4028
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
30724
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
66444
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
5397
428.1 IPS |
|
|
Object Detection (Q)
|
87% |
8826
708.3 IPS |
|
|
Face Detection (SP)
|
100% |
4839
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
15270
181.4 IPS |
|
|
Face Detection (Q)
|
100% |
29114
345.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4422
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16388
126.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30169
234.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10133
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46376
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83663
107.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12617
465.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21011
778.1 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1822
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3956
68.1 IPS |
