HP OMEN 35L GT16-0xxx
Geekbench ML Score
23556
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 04:13 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% |
10933
2.05 KIPS |
|
|
Image Classification (F16)
|
100% |
10419
1.95 KIPS |
|
|
Image Classification (I8)
|
100% |
9386
1.76 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15331
256.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
15336
256.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
13927
232.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
229088
277.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
233084
282.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
201339
243.8 IPS |
|
|
Object Detection (F32)
|
100% |
7661
572.0 IPS |
|
|
Object Detection (F16)
|
100% |
7604
567.7 IPS |
|
|
Object Detection (I8)
|
56% |
7111
530.9 IPS |
|
|
Face Detection (F32)
|
100% |
34575
411.1 IPS |
|
|
Face Detection (F16)
|
100% |
35570
422.9 IPS |
|
|
Face Detection (I8)
|
89% |
30516
362.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
71423
553.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
63749
494.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
52994
411.0 IPS |
|
|
Style Transfer (F32)
|
100% |
322961
424.8 IPS |
|
|
Style Transfer (F16)
|
100% |
322258
423.9 IPS |
|
|
Style Transfer (I8)
|
98% |
276014
363.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42267
1.51 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42844
1.53 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33319
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2750
3.95 KIPS |
|
|
Text Classification (F16)
|
100% |
2790
4.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1834
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
4329
79.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4254
78.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2298
42.3 IPS |
