LENOVO 83L0
Geekbench ML Score
9210
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 02:45 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83L0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3845
719.5 IPS |
|
|
Image Classification (F16)
|
100% |
3866
723.4 IPS |
|
|
Image Classification (I8)
|
100% |
3362
629.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7876
131.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7775
129.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
7070
118.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
52127
63.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
52339
63.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
48330
58.5 IPS |
|
|
Object Detection (F32)
|
100% |
4075
304.2 IPS |
|
|
Object Detection (F16)
|
100% |
4176
311.7 IPS |
|
|
Object Detection (I8)
|
57% |
3914
292.2 IPS |
|
|
Face Detection (F32)
|
100% |
13532
160.9 IPS |
|
|
Face Detection (F16)
|
100% |
13636
162.1 IPS |
|
|
Face Detection (I8)
|
89% |
11255
133.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
23732
184.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
23619
183.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
20186
156.5 IPS |
|
|
Style Transfer (F32)
|
100% |
69215
91.0 IPS |
|
|
Style Transfer (F16)
|
100% |
70057
92.2 IPS |
|
|
Style Transfer (I8)
|
98% |
61621
81.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15182
542.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14806
528.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11709
418.2 IPS |
|
|
Text Classification (F32)
|
100% |
1614
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1618
2.33 KIPS |
|
|
Text Classification (I8)
|
98% |
999
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
2738
50.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2701
49.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1250
23.0 IPS |
