HP Victus by HP Gaming Laptop
Geekbench AI Score
2793
Single Precision Score
1210
Half Precision Score
4825
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 02:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
99% |
4116
767.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2476
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4658
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
14168
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (Q)
|
86% |
4144
333.0 IPS |
|
|
Face Detection (SP)
|
100% |
4280
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6609
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10622
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11017
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7895
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15058
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3263
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.1 IPS |
|
|
Text Classification (Q)
|
97% |
1518
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2187
43.9 IPS |
