HP HP Laptop 15-fd1xxx
Geekbench AI Score
8413
Single Precision Score
13639
Half Precision Score
21049
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 19 2025 05:49 PM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6028
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
9283
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
10866
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4666
75.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12334
199.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18702
303.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25064
29.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23005
26.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
81849
95.8 IPS |
|
|
Object Detection (SP)
|
100% |
5481
434.8 IPS |
|
|
Object Detection (HP)
|
100% |
9445
749.2 IPS |
|
|
Object Detection (Q)
|
88% |
14151
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
9034
107.3 IPS |
|
|
Face Detection (HP)
|
100% |
18658
221.7 IPS |
|
|
Face Detection (Q)
|
100% |
32478
385.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20317
156.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
34529
266.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
41557
323.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56296
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
74130
95.3 IPS |
|
|
Style Transfer (Q)
|
98% |
186661
240.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9211
340.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16157
596.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24292
899.6 IPS |
|
|
Text Classification (SP)
|
71% |
1796
2.60 KIPS |
|
|
Text Classification (HP)
|
71% |
2682
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2701
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2692
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4329
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4390
75.9 IPS |
