LENOVO INVALID
Geekbench ML Score
5751
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:00 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2872
537.5 IPS |
|
|
Image Classification (F16)
|
100% |
2891
541.0 IPS |
|
|
Image Classification (I8)
|
99% |
4857
908.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2432
40.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2412
40.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3812
63.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13352
16.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13157
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
44629
54.0 IPS |
|
|
Object Detection (F32)
|
100% |
2967
221.5 IPS |
|
|
Object Detection (F16)
|
100% |
2849
212.7 IPS |
|
|
Object Detection (I8)
|
62% |
2647
197.6 IPS |
|
|
Face Detection (F32)
|
100% |
5490
65.3 IPS |
|
|
Face Detection (F16)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (I8)
|
89% |
5735
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12711
98.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13372
103.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
20762
161.0 IPS |
|
|
Style Transfer (F32)
|
100% |
22095
29.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30080
39.6 IPS |
|
|
Style Transfer (I8)
|
98% |
31619
41.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5457
194.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4537
162.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7338
262.1 IPS |
|
|
Text Classification (F32)
|
100% |
1912
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1906
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1336
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
2785
51.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2862
52.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4334
79.8 IPS |
