HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
14847
Single Precision Score
25466
Half Precision Score
11341
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 20 2025 09:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
4934
917.7 IPS |
|
|
Image Classification (HP)
|
99% |
9486
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
5087
946.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9537
154.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13557
219.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9233
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
82243
96.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
229365
267.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
73582
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
6982
553.8 IPS |
|
|
Object Detection (HP)
|
100% |
13339
1.06 KIPS |
|
|
Object Detection (Q)
|
89% |
5295
423.8 IPS |
|
|
Face Detection (SP)
|
100% |
16404
194.9 IPS |
|
|
Face Detection (HP)
|
100% |
25180
299.2 IPS |
|
|
Face Detection (Q)
|
97% |
12985
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
35558
274.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71093
547.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
29142
234.1 IPS |
|
|
Style Transfer (SP)
|
100% |
134625
173.1 IPS |
|
|
Style Transfer (HP)
|
100% |
327945
421.6 IPS |
|
|
Style Transfer (Q)
|
98% |
117536
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26362
973.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41799
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19431
719.5 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3608
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1850
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1204
26.8 IPS |
