HP HP EliteBook 645 14 inch G11 Notebook PC
Geekbench ML Score
2571
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 645 14 inch G11 Notebook PC |
| Motherboard | HP 8C7A |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 Pro 7735U with Radeon Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1672
312.9 IPS |
|
|
Image Classification (F16)
|
100% |
1648
308.4 IPS |
|
|
Image Classification (I8)
|
97% |
2965
554.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
582
9.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
606
10.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1689
28.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5022
6.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
4994
6.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
9616
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1545
115.4 IPS |
|
|
Object Detection (F16)
|
100% |
1564
116.8 IPS |
|
|
Object Detection (I8)
|
60% |
1443
107.7 IPS |
|
|
Face Detection (F32)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (F16)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (I8)
|
87% |
3099
36.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5707
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5622
43.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
8544
66.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11447
15.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11206
14.7 IPS |
|
|
Style Transfer (I8)
|
85% |
13561
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2270
81.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2047
73.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2428
86.7 IPS |
|
|
Text Classification (F32)
|
100% |
1697
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1708
2.45 KIPS |
|
|
Text Classification (I8)
|
94% |
356
511.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1791
33.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1757
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1864
34.3 IPS |
