LENOVO 83L0
Geekbench ML Score
6896
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 02:42 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 | Intel(R) Arc(TM) 140T GPU (32GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4605
861.7 IPS |
|
|
Image Classification (F16)
|
100% |
4471
836.7 IPS |
|
|
Image Classification (I8)
|
100% |
3419
639.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5935
99.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5867
98.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3911
65.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21492
26.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
22009
26.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
18227
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
4131
308.4 IPS |
|
|
Object Detection (F16)
|
100% |
4060
303.1 IPS |
|
|
Object Detection (I8)
|
59% |
3016
225.1 IPS |
|
|
Face Detection (F32)
|
100% |
8165
97.1 IPS |
|
|
Face Detection (F16)
|
100% |
8061
95.8 IPS |
|
|
Face Detection (I8)
|
89% |
5008
59.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
18982
147.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
18999
147.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
14686
113.9 IPS |
|
|
Style Transfer (F32)
|
100% |
58582
77.1 IPS |
|
|
Style Transfer (F16)
|
100% |
58509
77.0 IPS |
|
|
Style Transfer (I8)
|
98% |
43520
57.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10536
376.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10883
388.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6391
228.2 IPS |
|
|
Text Classification (F32)
|
100% |
1510
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1499
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
896
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2697
49.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2714
50.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1218
22.4 IPS |
