HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench ML Score
1936
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 02:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 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% |
1228
229.8 IPS |
|
|
Image Classification (F16)
|
100% |
1215
227.4 IPS |
|
|
Image Classification (I8)
|
99% |
1915
358.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
793
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1992
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1582
1.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
1545
1.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
6719
8.14 IPS |
|
|
Object Detection (F32)
|
100% |
733
54.7 IPS |
|
|
Object Detection (F16)
|
100% |
810
60.5 IPS |
|
|
Object Detection (I8)
|
62% |
1139
85.1 IPS |
|
|
Face Detection (F32)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (I8)
|
89% |
2697
32.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3373
26.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3252
25.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
9656
74.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7986
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
9237
12.2 IPS |
|
|
Style Transfer (I8)
|
98% |
12545
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1786
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1897
67.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3826
136.6 IPS |
|
|
Text Classification (F32)
|
100% |
1028
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
963
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
366
525.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1322
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1771
32.6 IPS |
