HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench ML Score
2108
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 02:03 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 14 |
| L1 Data Cache | 32.0 KB x 14 |
| 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% |
1126
210.7 IPS |
|
|
Image Classification (F16)
|
100% |
1063
198.9 IPS |
|
|
Image Classification (I8)
|
99% |
2064
386.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
955
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
902
15.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1945
32.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3284
3.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
3338
4.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
10986
13.3 IPS |
|
|
Object Detection (F32)
|
100% |
1155
86.2 IPS |
|
|
Object Detection (F16)
|
100% |
1071
80.0 IPS |
|
|
Object Detection (I8)
|
62% |
1236
92.3 IPS |
|
|
Face Detection (F32)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (F16)
|
100% |
1728
20.6 IPS |
|
|
Face Detection (I8)
|
89% |
2605
31.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4089
31.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3395
26.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8496
65.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6798
8.94 IPS |
|
|
Style Transfer (F16)
|
100% |
7491
9.85 IPS |
|
|
Style Transfer (I8)
|
98% |
12551
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1962
70.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2000
71.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3191
114.0 IPS |
|
|
Text Classification (F32)
|
100% |
914
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (I8)
|
98% |
425
611.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1138
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1226
22.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1963
36.1 IPS |
