HP OMEN 35L GT16-0xxx
Geekbench ML Score
23232
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 04:16 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10587
1.98 KIPS |
|
|
Image Classification (F16)
|
100% |
10962
2.05 KIPS |
|
|
Image Classification (I8)
|
100% |
9464
1.77 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15813
264.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
14903
248.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
13993
233.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
226847
274.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
225960
273.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
202425
245.1 IPS |
|
|
Object Detection (F32)
|
100% |
7602
567.5 IPS |
|
|
Object Detection (F16)
|
100% |
7708
575.5 IPS |
|
|
Object Detection (I8)
|
56% |
7272
542.9 IPS |
|
|
Face Detection (F32)
|
100% |
33644
400.0 IPS |
|
|
Face Detection (F16)
|
100% |
34018
404.5 IPS |
|
|
Face Detection (I8)
|
89% |
26051
309.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
71488
554.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
65781
510.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
51460
399.1 IPS |
|
|
Style Transfer (F32)
|
100% |
313914
412.9 IPS |
|
|
Style Transfer (F16)
|
100% |
299876
394.5 IPS |
|
|
Style Transfer (I8)
|
98% |
282633
371.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41626
1.49 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40857
1.46 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31046
1.11 KIPS |
|
|
Text Classification (F32)
|
100% |
2748
3.95 KIPS |
|
|
Text Classification (F16)
|
100% |
2738
3.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1824
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
4293
79.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4247
78.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2367
43.6 IPS |
