LENOVO 83BU
Geekbench ML Score
10137
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 03 2025 02:33 PM |
| Views | 4 |
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% |
4423
827.7 IPS |
|
|
Image Classification (F16)
|
100% |
4915
919.7 IPS |
|
|
Image Classification (I8)
|
100% |
3724
696.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
7513
125.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7648
127.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7155
119.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
52599
63.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
54580
66.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
48365
58.6 IPS |
|
|
Object Detection (F32)
|
100% |
4171
311.4 IPS |
|
|
Object Detection (F16)
|
100% |
4263
318.2 IPS |
|
|
Object Detection (I8)
|
61% |
4008
299.3 IPS |
|
|
Face Detection (F32)
|
100% |
11073
131.7 IPS |
|
|
Face Detection (F16)
|
100% |
10225
121.6 IPS |
|
|
Face Detection (I8)
|
89% |
8892
105.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25695
199.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
26457
205.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
23565
182.7 IPS |
|
|
Style Transfer (F32)
|
100% |
89638
117.9 IPS |
|
|
Style Transfer (F16)
|
100% |
91479
120.3 IPS |
|
|
Style Transfer (I8)
|
98% |
83314
109.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19318
689.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18132
647.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14503
518.0 IPS |
|
|
Text Classification (F32)
|
100% |
2326
3.34 KIPS |
|
|
Text Classification (F16)
|
100% |
2358
3.39 KIPS |
|
|
Text Classification (I8)
|
98% |
1296
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
2827
52.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2684
49.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1513
27.8 IPS |
