HP Victus by HP Gaming Laptop 15-fa0xxx
Geekbench AI Score
2357
Single Precision Score
586
Half Precision Score
3008
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ronald_Aprianto |
| Upload Date | August 21 2024 03:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa0xxx |
| Motherboard | HP 8A4F |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
99% |
2366
441.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
2010
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4178
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2981
3.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
12672
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
88% |
1480
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
242
2.87 IPS |
|
|
Face Detection (Q)
|
97% |
2992
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4637
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
698
5.37 IPS |
|
|
Depth Estimation (Q)
|
76% |
6552
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9683
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7087
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
14439
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3161
117.0 IPS |
|
|
Text Classification (SP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
466
622.6 IPS |
|
|
Text Classification (Q)
|
97% |
448
600.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
60% |
1700
37.9 IPS |
