HP OMEN 35L GT16-0xxx
Geekbench ML Score
4268
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 04:11 PM |
| Views | 5 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2230
417.3 IPS |
|
|
Image Classification (F16)
|
100% |
2209
413.4 IPS |
|
|
Image Classification (I8)
|
99% |
5346
1.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
993
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3439
57.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7886
9.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
7859
9.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
26714
32.3 IPS |
|
|
Object Detection (F32)
|
100% |
2238
167.1 IPS |
|
|
Object Detection (F16)
|
100% |
2235
166.8 IPS |
|
|
Object Detection (I8)
|
62% |
2216
165.5 IPS |
|
|
Face Detection (F32)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (F16)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (I8)
|
89% |
5709
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8869
68.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8823
68.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
17379
134.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18403
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
18408
24.2 IPS |
|
|
Style Transfer (I8)
|
98% |
26685
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3338
119.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3281
117.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4088
146.0 IPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1521
2.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
2316
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2307
42.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3104
57.1 IPS |
