HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
4690
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 14 2025 02:33 PM |
| Views | 6 |
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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2454
459.3 IPS |
|
|
Image Classification (F16)
|
100% |
2561
479.3 IPS |
|
|
Image Classification (I8)
|
100% |
2198
411.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2270
37.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2274
38.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1969
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
32369
39.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
33855
41.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24792
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
1938
144.7 IPS |
|
|
Object Detection (F16)
|
100% |
1909
142.5 IPS |
|
|
Object Detection (I8)
|
62% |
1759
131.3 IPS |
|
|
Face Detection (F32)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (F16)
|
100% |
4740
56.4 IPS |
|
|
Face Detection (I8)
|
89% |
3624
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14482
112.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14771
114.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
11347
88.0 IPS |
|
|
Style Transfer (F32)
|
100% |
24251
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
25530
33.6 IPS |
|
|
Style Transfer (I8)
|
98% |
24104
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4333
154.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4233
151.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3523
125.8 IPS |
|
|
Text Classification (F32)
|
100% |
1564
2.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1556
2.24 KIPS |
|
|
Text Classification (I8)
|
98% |
1296
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
2477
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2464
45.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1525
28.1 IPS |
