LENOVO INVALID
Geekbench ML Score
5860
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 04:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO 3784 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2383
445.9 IPS |
|
|
Image Classification (F16)
|
100% |
2951
552.2 IPS |
|
|
Image Classification (I8)
|
99% |
4792
896.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2361
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2363
39.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3718
62.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14182
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13817
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
43625
52.8 IPS |
|
|
Object Detection (F32)
|
100% |
2803
209.3 IPS |
|
|
Object Detection (F16)
|
100% |
2990
223.2 IPS |
|
|
Object Detection (I8)
|
62% |
2584
192.9 IPS |
|
|
Face Detection (F32)
|
100% |
5236
62.3 IPS |
|
|
Face Detection (F16)
|
100% |
5278
62.8 IPS |
|
|
Face Detection (I8)
|
89% |
5655
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12968
100.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13708
106.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
20914
162.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29438
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31577
41.5 IPS |
|
|
Style Transfer (I8)
|
98% |
29200
38.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5913
211.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5795
207.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7552
269.7 IPS |
|
|
Text Classification (F32)
|
100% |
1917
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1980
2.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1418
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
2924
53.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2949
54.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4449
81.9 IPS |
