HP Victus by HP Gaming Laptop 15-fb2xxx
Geekbench ML Score
4660
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 12:55 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2428
454.3 IPS |
|
|
Image Classification (F16)
|
100% |
2493
466.6 IPS |
|
|
Image Classification (I8)
|
100% |
2184
408.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2281
38.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2292
38.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1970
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
33425
40.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
33647
40.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24996
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
1790
133.6 IPS |
|
|
Object Detection (F16)
|
100% |
1917
143.1 IPS |
|
|
Object Detection (I8)
|
62% |
1706
127.4 IPS |
|
|
Face Detection (F32)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (F16)
|
100% |
4812
57.2 IPS |
|
|
Face Detection (I8)
|
89% |
3729
44.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
14281
110.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
14524
112.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
11335
87.9 IPS |
|
|
Style Transfer (F32)
|
100% |
23913
31.5 IPS |
|
|
Style Transfer (F16)
|
100% |
23840
31.4 IPS |
|
|
Style Transfer (I8)
|
98% |
23668
31.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4392
156.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4404
157.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3487
124.5 IPS |
|
|
Text Classification (F32)
|
100% |
1527
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1540
2.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1341
1.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
2421
44.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2402
44.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1495
27.5 IPS |
