HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
3648
Single Precision Score
4187
Half Precision Score
9511
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 20 2025 09:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2790
518.9 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
100% |
6352
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2933
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4239
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5669
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5579
6.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
20795
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (Q)
|
88% |
6833
547.7 IPS |
|
|
Face Detection (SP)
|
100% |
4400
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
9486
112.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4118
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7383
56.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
17863
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16443
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17250
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
57768
74.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3521
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3393
125.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11212
415.2 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3855
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3744
64.5 IPS |
