LENOVO INVALID
Geekbench ML Score
5830
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 04:52 AM |
| Views | 3 |
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% |
2947
551.5 IPS |
|
|
Image Classification (F16)
|
100% |
2914
545.3 IPS |
|
|
Image Classification (I8)
|
99% |
4768
892.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2363
39.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2395
40.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3769
63.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14118
17.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
14176
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
43709
52.9 IPS |
|
|
Object Detection (F32)
|
100% |
2784
207.8 IPS |
|
|
Object Detection (F16)
|
100% |
2965
221.4 IPS |
|
|
Object Detection (I8)
|
62% |
2629
196.2 IPS |
|
|
Face Detection (F32)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (F16)
|
100% |
4614
54.9 IPS |
|
|
Face Detection (I8)
|
89% |
5579
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12742
98.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
12623
97.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
21965
170.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26778
35.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30183
39.7 IPS |
|
|
Style Transfer (I8)
|
98% |
29386
38.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5623
200.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5785
206.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7189
256.7 IPS |
|
|
Text Classification (F32)
|
100% |
1903
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1954
2.81 KIPS |
|
|
Text Classification (I8)
|
98% |
1482
2.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
2905
53.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2924
53.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4432
81.6 IPS |
