HP HP Laptop 15-fd1xxx
Geekbench AI Score
7639
Single Precision Score
11703
Half Precision Score
17389
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | giantpopples |
| Upload Date | November 29 2024 04:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP HP Laptop 15-fd1xxx |
| Motherboard | HP 8CAC |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5249
976.1 IPS |
|
|
Image Classification (HP)
|
100% |
7521
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
8368
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4136
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9631
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13819
224.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21337
24.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18713
21.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
64755
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
4815
381.9 IPS |
|
|
Object Detection (HP)
|
100% |
7931
629.1 IPS |
|
|
Object Detection (Q)
|
88% |
11253
901.8 IPS |
|
|
Face Detection (SP)
|
100% |
8049
95.6 IPS |
|
|
Face Detection (HP)
|
100% |
16480
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
27532
327.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17330
133.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
31593
244.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
37267
289.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50815
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66765
85.8 IPS |
|
|
Style Transfer (Q)
|
98% |
147373
190.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8104
299.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14345
529.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20806
770.5 IPS |
|
|
Text Classification (SP)
|
71% |
2060
2.98 KIPS |
|
|
Text Classification (HP)
|
71% |
2671
3.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2784
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3366
58.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3426
59.0 IPS |
