LENOVO 81YH
Geekbench ML Score
1400
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 04:42 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 81YH |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 8.00 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% |
625
117.0 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
|
Image Classification (I8)
|
99% |
1704
318.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
725
12.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1277
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1422
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
1379
1.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
6703
8.12 IPS |
|
|
Object Detection (F32)
|
100% |
591
44.2 IPS |
|
|
Object Detection (F16)
|
100% |
592
44.2 IPS |
|
|
Object Detection (I8)
|
62% |
1102
82.3 IPS |
|
|
Face Detection (F32)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (I8)
|
89% |
2528
30.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1811
14.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1806
14.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
5939
46.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5668
7.46 IPS |
|
|
Style Transfer (F16)
|
100% |
3994
5.25 IPS |
|
|
Style Transfer (I8)
|
98% |
10157
13.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
814
29.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
812
29.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2155
77.0 IPS |
|
|
Text Classification (F32)
|
100% |
734
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
728
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
277
397.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1184
21.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1421
26.2 IPS |
