LENOVO 21FBA01PCD
Geekbench ML Score
2152
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 25 2024 06:21 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 21FBA01PCD |
| Motherboard | LENOVO 21FBA01PCD |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 123.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1852
346.6 IPS |
|
|
Image Classification (F16)
|
100% |
1848
345.8 IPS |
|
|
Image Classification (I8)
|
99% |
1049
196.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2844
47.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2800
46.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1208
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2968
3.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
2948
3.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
3937
4.77 IPS |
|
|
Object Detection (F32)
|
100% |
2343
174.9 IPS |
|
|
Object Detection (F16)
|
100% |
2343
174.9 IPS |
|
|
Object Detection (I8)
|
65% |
1612
120.3 IPS |
|
|
Face Detection (F32)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (F16)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (I8)
|
87% |
2587
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2846
22.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2812
21.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2579
20.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3285
4.32 IPS |
|
|
Style Transfer (F16)
|
100% |
3198
4.21 IPS |
|
|
Style Transfer (I8)
|
98% |
5999
7.89 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2136
76.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2302
82.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1842
65.8 IPS |
|
|
Text Classification (F32)
|
100% |
1198
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1205
1.73 KIPS |
|
|
Text Classification (I8)
|
92% |
470
675.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2209
40.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2385
43.9 IPS |
|
|
Machine Translation (I8)
|
62% |
758
14.0 IPS |
