LENOVO 83AQ
Geekbench ML Score
4684
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | donbasilpeter |
| Upload Date | July 13 2024 03:39 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83AQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
947
177.1 IPS |
|
|
Image Classification (F16)
|
100% |
963
180.3 IPS |
|
|
Image Classification (I8)
|
100% |
793
148.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2128
35.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5045
84.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3940
65.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
37325
45.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
36819
44.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
30388
36.8 IPS |
|
|
Object Detection (F32)
|
100% |
1999
149.2 IPS |
|
|
Object Detection (F16)
|
100% |
2154
160.8 IPS |
|
|
Object Detection (I8)
|
61% |
1871
139.7 IPS |
|
|
Face Detection (F32)
|
100% |
7601
90.4 IPS |
|
|
Face Detection (F16)
|
100% |
7380
87.7 IPS |
|
|
Face Detection (I8)
|
89% |
5737
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16254
126.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17152
133.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
14461
112.1 IPS |
|
|
Style Transfer (F32)
|
100% |
61913
81.4 IPS |
|
|
Style Transfer (F16)
|
100% |
61573
81.0 IPS |
|
|
Style Transfer (I8)
|
98% |
52781
69.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11861
423.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11784
420.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7262
259.4 IPS |
|
|
Text Classification (F32)
|
100% |
1082
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
543
779.9 IPS |
|
|
Text Classification (I8)
|
98% |
268
384.6 IPS |
|
|
Machine Translation (F32)
|
100% |
843
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
843
15.5 IPS |
|
|
Machine Translation (I8)
|
70% |
432
7.95 IPS |
