HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
4504
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xiaochen |
| Upload Date | August 23 2024 01:11 AM |
| Views | 10 |
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 | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2348
439.4 IPS |
|
|
Image Classification (F16)
|
100% |
2499
467.6 IPS |
|
|
Image Classification (I8)
|
100% |
2109
394.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2231
37.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2296
38.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1978
33.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
32398
39.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
30229
36.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
23822
28.8 IPS |
|
|
Object Detection (F32)
|
100% |
1815
135.5 IPS |
|
|
Object Detection (F16)
|
100% |
1842
137.5 IPS |
|
|
Object Detection (I8)
|
62% |
1624
121.2 IPS |
|
|
Face Detection (F32)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (F16)
|
100% |
4716
56.1 IPS |
|
|
Face Detection (I8)
|
89% |
3611
42.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
13376
103.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13427
104.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
11000
85.3 IPS |
|
|
Style Transfer (F32)
|
100% |
25966
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23898
31.4 IPS |
|
|
Style Transfer (I8)
|
98% |
23693
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3961
141.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3523
125.8 IPS |
|
|
Text Classification (F32)
|
100% |
1444
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1446
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1213
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
2301
42.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2299
42.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1419
26.1 IPS |
