HP OMEN 35L GT16-0xxx
Geekbench ML Score
4347
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 04:06 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2210
413.5 IPS |
|
|
Image Classification (F16)
|
100% |
2208
413.2 IPS |
|
|
Image Classification (I8)
|
99% |
5364
1.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1207
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1293
21.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3626
60.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7876
9.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
7878
9.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
26711
32.3 IPS |
|
|
Object Detection (F32)
|
100% |
2237
167.0 IPS |
|
|
Object Detection (F16)
|
100% |
2253
168.2 IPS |
|
|
Object Detection (I8)
|
62% |
2195
163.9 IPS |
|
|
Face Detection (F32)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (F16)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (I8)
|
89% |
5753
68.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8761
67.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8775
68.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
17457
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18378
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
18342
24.1 IPS |
|
|
Style Transfer (I8)
|
98% |
27475
36.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3318
118.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3307
118.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4091
146.1 IPS |
|
|
Text Classification (F32)
|
100% |
2119
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
2117
3.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1519
2.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
2288
42.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2308
42.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3335
61.4 IPS |
