HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
3135
Single Precision Score
1302
Half Precision Score
4592
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 20 2025 09:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BBE |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
99% |
3383
631.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3131
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6261
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
21501
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
88% |
2052
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
1424
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
3899
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7036
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1824
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8091
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14848
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8800
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21891
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4052
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.4 IPS |
|
|
Text Classification (Q)
|
97% |
1496
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1857
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2131
47.5 IPS |
