HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench ML Score
12778
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 04:03 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP Victus by HP Gaming Laptop 16-r0xxx |
| Motherboard | HP 8BC2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5474
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
6279
1.17 KIPS |
|
|
Image Classification (I8)
|
100% |
5092
952.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
9064
151.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9001
150.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8278
138.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
75475
91.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
75992
92.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
67967
82.3 IPS |
|
|
Object Detection (F32)
|
100% |
4893
365.3 IPS |
|
|
Object Detection (F16)
|
100% |
4812
359.2 IPS |
|
|
Object Detection (I8)
|
61% |
4359
325.4 IPS |
|
|
Face Detection (F32)
|
100% |
17296
205.7 IPS |
|
|
Face Detection (F16)
|
100% |
17488
207.9 IPS |
|
|
Face Detection (I8)
|
89% |
13526
160.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
38222
296.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
30669
237.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
29171
226.2 IPS |
|
|
Style Transfer (F32)
|
100% |
136122
179.1 IPS |
|
|
Style Transfer (F16)
|
100% |
119325
157.0 IPS |
|
|
Style Transfer (I8)
|
98% |
105917
139.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22048
787.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22956
819.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16567
591.7 IPS |
|
|
Text Classification (F32)
|
100% |
2590
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2536
3.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1461
2.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
3089
56.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3023
55.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1830
33.7 IPS |
