LENOVO 21FAS16L00
Geekbench ML Score
16482
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 07:01 PM |
| Views | 6 |
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 | DirectML |
| Device | NVIDIA RTX 3500 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7196
1.35 KIPS |
|
|
Image Classification (F16)
|
100% |
7730
1.45 KIPS |
|
|
Image Classification (I8)
|
100% |
6901
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12802
213.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
11782
196.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
11025
184.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
115613
140.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
112641
136.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
102891
124.6 IPS |
|
|
Object Detection (F32)
|
100% |
5596
417.8 IPS |
|
|
Object Detection (F16)
|
100% |
5657
422.4 IPS |
|
|
Object Detection (I8)
|
63% |
5035
375.9 IPS |
|
|
Face Detection (F32)
|
100% |
22674
269.6 IPS |
|
|
Face Detection (F16)
|
100% |
23203
275.9 IPS |
|
|
Face Detection (I8)
|
89% |
21458
255.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
44077
341.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
41082
318.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
35586
276.0 IPS |
|
|
Style Transfer (F32)
|
100% |
175560
230.9 IPS |
|
|
Style Transfer (F16)
|
100% |
175332
230.6 IPS |
|
|
Style Transfer (I8)
|
98% |
158908
209.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27872
995.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29043
1.04 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24295
867.6 IPS |
|
|
Text Classification (F32)
|
100% |
2806
4.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2985
4.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1447
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
3604
66.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3498
64.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2223
40.9 IPS |
