LENOVO 83BU
Geekbench ML Score
10058
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 05 2025 06:10 PM |
| Views | 10 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4644
869.0 IPS |
|
|
Image Classification (F16)
|
100% |
4555
852.3 IPS |
|
|
Image Classification (I8)
|
100% |
3913
732.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
7587
126.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
7940
132.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
7006
117.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
54396
65.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
53321
64.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
48970
59.3 IPS |
|
|
Object Detection (F32)
|
100% |
4086
305.1 IPS |
|
|
Object Detection (F16)
|
100% |
3978
296.9 IPS |
|
|
Object Detection (I8)
|
61% |
3784
282.5 IPS |
|
|
Face Detection (F32)
|
100% |
11055
131.4 IPS |
|
|
Face Detection (F16)
|
100% |
10972
130.5 IPS |
|
|
Face Detection (I8)
|
89% |
9200
109.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
25824
200.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
26170
202.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
24833
192.6 IPS |
|
|
Style Transfer (F32)
|
100% |
91538
120.4 IPS |
|
|
Style Transfer (F16)
|
100% |
90860
119.5 IPS |
|
|
Style Transfer (I8)
|
98% |
80907
106.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18483
660.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19199
685.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13398
478.5 IPS |
|
|
Text Classification (F32)
|
100% |
2364
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
2285
3.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1237
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
2621
48.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2677
49.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1390
25.6 IPS |
