LENOVO 83L0
Geekbench ML Score
4331
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 02:39 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2119
396.5 IPS |
|
|
Image Classification (F16)
|
100% |
1910
357.3 IPS |
|
|
Image Classification (I8)
|
99% |
3806
712.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1928
32.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1809
30.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3349
55.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8015
9.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
8461
10.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
32927
39.9 IPS |
|
|
Object Detection (F32)
|
100% |
2126
158.7 IPS |
|
|
Object Detection (F16)
|
100% |
2159
161.2 IPS |
|
|
Object Detection (I8)
|
62% |
1831
136.7 IPS |
|
|
Face Detection (F32)
|
100% |
4358
51.8 IPS |
|
|
Face Detection (F16)
|
100% |
4640
55.2 IPS |
|
|
Face Detection (I8)
|
89% |
4953
58.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8010
62.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7916
61.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
16245
126.0 IPS |
|
|
Style Transfer (F32)
|
100% |
19250
25.3 IPS |
|
|
Style Transfer (F16)
|
100% |
19249
25.3 IPS |
|
|
Style Transfer (I8)
|
98% |
26582
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3580
127.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3689
131.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6162
220.1 IPS |
|
|
Text Classification (F32)
|
100% |
1299
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1338
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1281
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
2306
42.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2204
40.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3963
72.9 IPS |
