LENOVO INVALID
Geekbench ML Score
5866
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:47 AM |
| Views | 4 |
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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2969
555.6 IPS |
|
|
Image Classification (F16)
|
100% |
2937
549.6 IPS |
|
|
Image Classification (I8)
|
99% |
4860
909.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2403
40.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2354
39.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3907
65.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
14116
17.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
14235
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
43827
53.1 IPS |
|
|
Object Detection (F32)
|
100% |
2941
219.5 IPS |
|
|
Object Detection (F16)
|
100% |
2950
220.2 IPS |
|
|
Object Detection (I8)
|
62% |
2642
197.3 IPS |
|
|
Face Detection (F32)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (F16)
|
100% |
5247
62.4 IPS |
|
|
Face Detection (I8)
|
89% |
5668
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13325
103.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
12267
95.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
21064
163.4 IPS |
|
|
Style Transfer (F32)
|
100% |
31306
41.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26956
35.5 IPS |
|
|
Style Transfer (I8)
|
98% |
27745
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5737
204.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5736
204.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7194
256.9 IPS |
|
|
Text Classification (F32)
|
100% |
1915
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1909
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1465
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
2919
53.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2881
53.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4606
84.8 IPS |
