LENOVO 83JM
Geekbench ML Score
4246
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 04 2025 12:45 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83JM |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2062
385.8 IPS |
|
|
Image Classification (F16)
|
100% |
1927
360.6 IPS |
|
|
Image Classification (I8)
|
99% |
3597
673.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1845
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1860
31.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3289
54.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8502
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8307
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
31972
38.7 IPS |
|
|
Object Detection (F32)
|
100% |
2059
153.7 IPS |
|
|
Object Detection (F16)
|
100% |
1999
149.2 IPS |
|
|
Object Detection (I8)
|
62% |
1850
138.1 IPS |
|
|
Face Detection (F32)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (F16)
|
100% |
4237
50.4 IPS |
|
|
Face Detection (I8)
|
89% |
4649
55.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8206
63.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8258
64.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15278
118.5 IPS |
|
|
Style Transfer (F32)
|
100% |
19606
25.8 IPS |
|
|
Style Transfer (F16)
|
100% |
19641
25.8 IPS |
|
|
Style Transfer (I8)
|
98% |
24843
32.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3453
123.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3687
131.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5855
209.1 IPS |
|
|
Text Classification (F32)
|
100% |
1310
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1292
1.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1218
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
2204
40.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2208
40.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3863
71.1 IPS |
