HP Victus by HP Gaming Laptop 16-r0xxx
Geekbench ML Score
3747
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 03:58 AM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1922
359.6 IPS |
|
|
Image Classification (F16)
|
100% |
2039
381.5 IPS |
|
|
Image Classification (I8)
|
99% |
3960
740.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1807
30.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1852
30.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2669
44.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6855
8.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
6940
8.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
24467
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
1881
140.5 IPS |
|
|
Object Detection (F16)
|
100% |
1874
139.9 IPS |
|
|
Object Detection (I8)
|
62% |
1740
129.9 IPS |
|
|
Face Detection (F32)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (F16)
|
100% |
3892
46.3 IPS |
|
|
Face Detection (I8)
|
89% |
4225
50.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7961
61.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7670
59.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14313
111.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16684
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16401
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
22449
29.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3375
120.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3316
118.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5063
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
1472
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1497
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
411
590.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1833
33.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
34.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2716
50.0 IPS |
