HP Victus by HP Gaming Laptop 15-fa0xxx
Geekbench AI Score
2750
Single Precision Score
2760
Half Precision Score
3654
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ronald_Aprianto |
| Upload Date | August 21 2024 03:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1663
309.2 IPS |
|
|
Image Classification (HP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (Q)
|
100% |
2521
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1495
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4086
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4085
4.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
6007
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (Q)
|
88% |
1421
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
4687
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
5798
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4671
36.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
4775
36.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
9958
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11510
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11352
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23470
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2031
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
661
881.6 IPS |
|
|
Text Classification (HP)
|
100% |
687
917.6 IPS |
|
|
Text Classification (Q)
|
92% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (Q)
|
85% |
3218
56.3 IPS |
