HP HP Laptop 15-fd1xxx
Geekbench AI Score
7618
Single Precision Score
12358
Half Precision Score
19066
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danderso567 |
| Upload Date | April 24 2025 04:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5016
932.8 IPS |
|
|
Image Classification (HP)
|
100% |
8490
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
10002
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10136
164.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15160
245.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23533
27.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
20694
24.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
76769
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
5167
409.9 IPS |
|
|
Object Detection (HP)
|
100% |
8848
701.8 IPS |
|
|
Object Detection (Q)
|
88% |
13712
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
7497
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
16646
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
26923
319.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16508
127.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
31359
242.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
40395
314.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53842
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67955
87.4 IPS |
|
|
Style Transfer (Q)
|
98% |
172326
222.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8792
324.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15902
587.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23807
881.7 IPS |
|
|
Text Classification (SP)
|
71% |
1692
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
2611
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2608
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3580
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3418
58.9 IPS |
