LENOVO 83BU
Geekbench ML Score
3315
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 05 2025 06:08 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83BU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13705H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1614
302.0 IPS |
|
|
Image Classification (F16)
|
100% |
1582
296.1 IPS |
|
|
Image Classification (I8)
|
99% |
3069
574.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1493
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1572
26.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2628
43.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5218
6.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
5199
6.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
18131
22.0 IPS |
|
|
Object Detection (F32)
|
100% |
1700
126.9 IPS |
|
|
Object Detection (F16)
|
100% |
1734
129.4 IPS |
|
|
Object Detection (I8)
|
62% |
1605
119.9 IPS |
|
|
Face Detection (F32)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (F16)
|
100% |
3437
40.9 IPS |
|
|
Face Detection (I8)
|
89% |
4007
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6296
48.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6079
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11691
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12886
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12764
16.8 IPS |
|
|
Style Transfer (I8)
|
98% |
21292
28.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2799
100.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2748
98.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4204
150.1 IPS |
|
|
Text Classification (F32)
|
100% |
1282
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1372
1.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1113
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
1740
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1737
32.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2581
47.5 IPS |
