HP Victus by HP Gaming Laptop 15-fa0xxx
Geekbench AI Score
2112
Single Precision Score
533
Half Precision Score
2623
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ronald_Aprianto |
| Upload Date | December 22 2024 07:30 PM |
| Views | 7 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
2483
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1888
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3919
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
11400
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
88% |
1353
108.5 IPS |
|
|
Face Detection (SP)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
222
2.64 IPS |
|
|
Face Detection (Q)
|
97% |
2510
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3947
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
603
4.65 IPS |
|
|
Depth Estimation (Q)
|
76% |
5459
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8799
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6531
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
13163
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2560
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
1074
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
423
564.8 IPS |
|
|
Text Classification (Q)
|
97% |
334
447.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
60% |
1387
30.9 IPS |
