HP HP Laptop 15-fd1xxx
Geekbench AI Score
4632
Single Precision Score
7647
Half Precision Score
3387
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danderso567 |
| Upload Date | April 24 2025 04:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2449
455.4 IPS |
|
|
Image Classification (HP)
|
100% |
4165
774.5 IPS |
|
|
Image Classification (Q)
|
100% |
2099
390.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7129
115.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2378
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11528
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19452
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10170
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
99% |
5444
433.1 IPS |
|
|
Object Detection (Q)
|
86% |
2197
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
4122
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
8354
99.3 IPS |
|
|
Face Detection (Q)
|
97% |
3184
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9799
75.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
20810
160.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
7800
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42897
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
70431
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29462
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7286
269.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11499
424.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4028
149.2 IPS |
|
|
Text Classification (SP)
|
86% |
802
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
680
907.4 IPS |
|
|
Text Classification (Q)
|
84% |
607
824.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
70% |
997
18.7 IPS |
