HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
2117
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 01:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb2xxx |
| Motherboard | HP 8C2F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
726
135.9 IPS |
|
|
Image Classification (F16)
|
100% |
722
135.2 IPS |
|
|
Image Classification (I8)
|
100% |
599
112.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
714
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
740
12.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
611
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10397
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10311
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13855
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
650
48.5 IPS |
|
|
Object Detection (F16)
|
100% |
646
48.2 IPS |
|
|
Object Detection (I8)
|
62% |
541
40.4 IPS |
|
|
Face Detection (F32)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (I8)
|
89% |
1656
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7665
59.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9008
69.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
5830
45.2 IPS |
|
|
Style Transfer (F32)
|
100% |
21476
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21795
28.7 IPS |
|
|
Style Transfer (I8)
|
98% |
16832
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3033
108.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3046
108.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2761
98.6 IPS |
|
|
Text Classification (F32)
|
100% |
899
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
729
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
721
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
741
13.6 IPS |
|
|
Machine Translation (I8)
|
70% |
642
11.8 IPS |
