HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench AI Score
3339
Single Precision Score
3290
Half Precision Score
7816
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | llluuucccaaaa |
| Upload Date | March 09 2025 09:55 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BBE |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.1 IPS |
|
|
Image Classification (Q)
|
100% |
4889
909.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4560
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5215
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4891
5.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
14600
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (Q)
|
88% |
5019
402.3 IPS |
|
|
Face Detection (SP)
|
100% |
4999
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
4972
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
11875
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5624
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5611
43.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
13269
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15367
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15404
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40166
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2346
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8134
301.2 IPS |
|
|
Text Classification (SP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1686
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
4072
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2487
42.8 IPS |
