HP Victus by HP Laptop 16-d1xxx
Geekbench AI Score
3126
Single Precision Score
1193
Half Precision Score
4890
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 09:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP Victus by HP Laptop 16-d1xxx |
| Motherboard | HP 8A26 |
| Power Plan | Ultimate Performance |
| 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% |
2405
447.3 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
4752
886.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4692
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4947
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
15403
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
86% |
4362
350.6 IPS |
|
|
Face Detection (SP)
|
100% |
6063
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
6674
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5707
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11247
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11952
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8123
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17453
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4222
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
630
840.9 IPS |
|
|
Text Classification (Q)
|
97% |
448
599.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2110
42.4 IPS |
