LENOVO 83FW
Geekbench ML Score
2423
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 06:14 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83FW |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 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% |
1294
242.2 IPS |
|
|
Image Classification (F16)
|
100% |
1293
242.0 IPS |
|
|
Image Classification (I8)
|
99% |
2283
427.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1008
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
980
16.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1994
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3516
4.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
3418
4.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
8977
10.9 IPS |
|
|
Object Detection (F32)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
1359
101.4 IPS |
|
|
Object Detection (I8)
|
62% |
1372
102.4 IPS |
|
|
Face Detection (F32)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (F16)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (I8)
|
89% |
3310
39.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4333
33.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4256
33.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
8904
69.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8581
11.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8424
11.1 IPS |
|
|
Style Transfer (I8)
|
98% |
14791
19.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2031
72.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1965
70.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3485
124.5 IPS |
|
|
Text Classification (F32)
|
100% |
1241
1.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1259
1.81 KIPS |
|
|
Text Classification (I8)
|
98% |
497
714.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2231
41.1 IPS |
