HP HP EliteBook 645 14 inch G11 Notebook PC
Geekbench ML Score
2545
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:39 PM |
| Views | 4 |
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% |
1639
306.7 IPS |
|
|
Image Classification (F16)
|
100% |
1649
308.6 IPS |
|
|
Image Classification (I8)
|
97% |
2909
544.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
606
10.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1675
28.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5028
6.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
4269
5.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
9638
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1556
116.2 IPS |
|
|
Object Detection (F16)
|
100% |
1554
116.0 IPS |
|
|
Object Detection (I8)
|
60% |
1461
109.1 IPS |
|
|
Face Detection (F32)
|
100% |
2225
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (I8)
|
87% |
3157
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5072
39.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5681
44.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
8578
66.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11247
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11469
15.1 IPS |
|
|
Style Transfer (I8)
|
85% |
13800
18.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2343
83.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2073
74.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2397
85.6 IPS |
|
|
Text Classification (F32)
|
100% |
1703
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1583
2.28 KIPS |
|
|
Text Classification (I8)
|
94% |
358
514.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1710
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1695
31.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1895
34.9 IPS |
