HP Victus by HP Laptop 16-d1xxx
Geekbench AI Score
11835
Single Precision Score
20349
Half Precision Score
7768
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 12:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Laptop 16-d1xxx |
| Motherboard | HP 8A25 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4372
813.1 IPS |
|
|
Image Classification (HP)
|
99% |
8236
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
3302
614.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7591
123.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10844
175.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6194
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
59000
68.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
165968
193.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
50338
58.9 IPS |
|
|
Object Detection (SP)
|
100% |
5817
461.4 IPS |
|
|
Object Detection (HP)
|
100% |
10866
861.9 IPS |
|
|
Object Detection (Q)
|
89% |
4049
324.3 IPS |
|
|
Face Detection (SP)
|
100% |
13213
157.0 IPS |
|
|
Face Detection (HP)
|
100% |
20541
244.1 IPS |
|
|
Face Detection (Q)
|
97% |
9556
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29600
228.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59185
457.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
19590
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
105003
135.0 IPS |
|
|
Style Transfer (HP)
|
100% |
270467
347.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83185
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18873
696.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28344
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11723
434.1 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2662
45.9 IPS |
|
|
Machine Translation (Q)
|
60% |
940
21.0 IPS |
