HP Victus by HP Gaming Laptop 15-fa0xxx
Geekbench AI Score
2241
Single Precision Score
573
Half Precision Score
2944
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ronald_Aprianto |
| Upload Date | August 21 2024 03:37 PM |
| Views | 10 |
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% |
1063
197.7 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
2435
454.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1772
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3833
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2841
3.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
12596
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
88% |
1391
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
233
2.77 IPS |
|
|
Face Detection (Q)
|
97% |
3073
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4607
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
709
5.46 IPS |
|
|
Depth Estimation (Q)
|
76% |
6212
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9896
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7230
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
14285
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3237
119.9 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
504
672.5 IPS |
|
|
Text Classification (Q)
|
97% |
523
700.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
60% |
1406
31.4 IPS |
