HP OMEN 35L GT16-0xxx
Geekbench ML Score
4264
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 04:07 PM |
| Views | 2 |
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% |
2214
414.2 IPS |
|
|
Image Classification (F16)
|
100% |
2168
405.7 IPS |
|
|
Image Classification (I8)
|
99% |
5321
995.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1048
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1026
17.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3531
59.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7758
9.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
7739
9.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
26577
32.2 IPS |
|
|
Object Detection (F32)
|
100% |
2237
167.0 IPS |
|
|
Object Detection (F16)
|
100% |
2189
163.4 IPS |
|
|
Object Detection (I8)
|
62% |
2192
163.7 IPS |
|
|
Face Detection (F32)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (F16)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (I8)
|
89% |
5718
68.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8800
68.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8769
68.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
17404
135.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18288
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
18415
24.2 IPS |
|
|
Style Transfer (I8)
|
98% |
27032
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3302
117.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3344
119.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4132
147.5 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2117
3.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1514
2.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
2314
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2259
41.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3139
57.8 IPS |
