HP Victus by HP Gaming Laptop 16-r1xxx
Geekbench AI Score
17685
Single Precision Score
28062
Half Precision Score
13723
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r1xxx |
| Motherboard | HP 8C99 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6867
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11819
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
6443
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11225
182.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13741
222.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10717
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
112208
130.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
286334
334.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
100838
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
8632
684.7 IPS |
|
|
Object Detection (HP)
|
100% |
13648
1.08 KIPS |
|
|
Object Detection (Q)
|
88% |
7089
568.5 IPS |
|
|
Face Detection (SP)
|
100% |
18939
225.0 IPS |
|
|
Face Detection (HP)
|
100% |
28845
342.7 IPS |
|
|
Face Detection (Q)
|
97% |
15821
188.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41967
323.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77024
595.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
32912
265.4 IPS |
|
|
Style Transfer (SP)
|
100% |
183041
235.3 IPS |
|
|
Style Transfer (HP)
|
100% |
424434
545.6 IPS |
|
|
Style Transfer (Q)
|
98% |
166928
215.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31558
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46919
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23782
880.6 IPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3010
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3033
52.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1394
31.1 IPS |
