HP OMEN 35L GT16-0xxx
Geekbench ML Score
23353
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 04:14 PM |
| Views | 4 |
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% |
10657
1.99 KIPS |
|
|
Image Classification (F16)
|
100% |
10997
2.06 KIPS |
|
|
Image Classification (I8)
|
100% |
9562
1.79 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15109
252.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
15141
252.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
14079
235.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
227554
275.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
232618
281.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
202296
245.0 IPS |
|
|
Object Detection (F32)
|
100% |
7679
573.3 IPS |
|
|
Object Detection (F16)
|
100% |
7397
552.2 IPS |
|
|
Object Detection (I8)
|
56% |
7213
538.5 IPS |
|
|
Face Detection (F32)
|
100% |
33396
397.1 IPS |
|
|
Face Detection (F16)
|
100% |
35760
425.2 IPS |
|
|
Face Detection (I8)
|
89% |
26532
315.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
66917
518.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
63253
490.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
52906
410.3 IPS |
|
|
Style Transfer (F32)
|
100% |
323428
425.4 IPS |
|
|
Style Transfer (F16)
|
100% |
316221
416.0 IPS |
|
|
Style Transfer (I8)
|
98% |
278169
365.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43555
1.56 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40548
1.45 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33277
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2736
3.93 KIPS |
|
|
Text Classification (F16)
|
100% |
2789
4.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1807
2.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
4284
78.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4285
78.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2362
43.5 IPS |
