HP HP EliteBook 645 14 inch G11 Notebook PC
Geekbench ML Score
2552
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:44 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% |
1664
311.5 IPS |
|
|
Image Classification (F16)
|
100% |
1654
309.4 IPS |
|
|
Image Classification (I8)
|
97% |
2941
550.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
612
10.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1706
28.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5045
6.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
4897
5.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
9597
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1581
118.0 IPS |
|
|
Object Detection (F16)
|
100% |
1511
112.8 IPS |
|
|
Object Detection (I8)
|
60% |
1461
109.1 IPS |
|
|
Face Detection (F32)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (I8)
|
87% |
3101
36.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5655
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5713
44.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
8593
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
11320
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11315
14.9 IPS |
|
|
Style Transfer (I8)
|
85% |
13624
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2193
78.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2230
79.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2355
84.1 IPS |
|
|
Text Classification (F32)
|
100% |
1672
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1166
1.68 KIPS |
|
|
Text Classification (I8)
|
94% |
351
504.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1810
33.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1817
33.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1877
34.5 IPS |
