HP Victus by HP Laptop 16-d1xxx
Geekbench AI Score
2811
Single Precision Score
1197
Half Precision Score
4786
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 07:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Laptop 16-d1xxx |
| Motherboard | HP 8A25 |
| Power Plan | Yksek performans |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
99% |
3881
723.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2516
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4727
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
14574
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2049
162.6 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
4106
330.0 IPS |
|
|
Face Detection (SP)
|
100% |
4939
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
6517
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1693
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10971
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10974
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7828
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16454
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3036
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.1 IPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2146
43.1 IPS |
