HP Victus by HP Gaming Laptop
Geekbench AI Score
2888
Single Precision Score
2904
Half Precision Score
6529
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 02:59 PM |
| Views | 1 |
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 Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop |
| Motherboard | HP 8BB1 |
| Power Plan | Dengeli |
| 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% |
1513
281.5 IPS |
|
|
Image Classification (HP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (Q)
|
100% |
4379
814.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4198
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4419
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4404
5.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
12113
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (Q)
|
88% |
4363
349.8 IPS |
|
|
Face Detection (SP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
6588
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4533
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4494
34.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11749
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12895
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12964
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33076
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6612
244.9 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4039
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2120
36.5 IPS |
