LENOVO 21FAS16L00
Geekbench ML Score
3744
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 07:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FAS16L00 |
| Motherboard | LENOVO 21FAS16L00 |
| Power Plan | Echilibrat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2050
383.7 IPS |
|
|
Image Classification (F16)
|
100% |
2016
377.2 IPS |
|
|
Image Classification (I8)
|
99% |
3886
727.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1784
29.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1737
29.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2625
43.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7297
8.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
7060
8.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
24073
29.2 IPS |
|
|
Object Detection (F32)
|
100% |
1907
142.4 IPS |
|
|
Object Detection (F16)
|
100% |
1883
140.5 IPS |
|
|
Object Detection (I8)
|
62% |
1791
133.7 IPS |
|
|
Face Detection (F32)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (F16)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (I8)
|
89% |
4116
48.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8455
65.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8215
63.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14171
109.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17296
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
16809
22.1 IPS |
|
|
Style Transfer (I8)
|
98% |
21717
28.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3466
123.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3182
113.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4839
172.8 IPS |
|
|
Text Classification (F32)
|
100% |
1460
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1446
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
402
578.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1835
33.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1931
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2728
50.2 IPS |
