HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
10969
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | August 23 2024 01:05 AM |
| Views | 47 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5356
1.00 KIPS |
|
|
Image Classification (F16)
|
100% |
5322
995.8 IPS |
|
|
Image Classification (I8)
|
100% |
4523
846.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8394
140.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8622
144.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
7882
131.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
57959
70.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
58655
71.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
50041
60.6 IPS |
|
|
Object Detection (F32)
|
100% |
3749
279.9 IPS |
|
|
Object Detection (F16)
|
100% |
3872
289.0 IPS |
|
|
Object Detection (I8)
|
61% |
3758
280.6 IPS |
|
|
Face Detection (F32)
|
100% |
13061
155.3 IPS |
|
|
Face Detection (F16)
|
100% |
14222
169.1 IPS |
|
|
Face Detection (I8)
|
89% |
11662
138.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
23889
185.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
29983
232.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
22448
174.1 IPS |
|
|
Style Transfer (F32)
|
100% |
99726
131.2 IPS |
|
|
Style Transfer (F16)
|
100% |
92625
121.8 IPS |
|
|
Style Transfer (I8)
|
98% |
85705
112.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20289
724.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20186
720.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15010
536.1 IPS |
|
|
Text Classification (F32)
|
100% |
2253
3.24 KIPS |
|
|
Text Classification (F16)
|
100% |
2372
3.41 KIPS |
|
|
Text Classification (I8)
|
98% |
1333
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
3344
61.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3171
58.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1837
33.8 IPS |
