LENOVO INVALID
Geekbench ML Score
5964
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:52 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% |
2855
534.2 IPS |
|
|
Image Classification (F16)
|
100% |
2889
540.6 IPS |
|
|
Image Classification (I8)
|
99% |
4880
913.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2404
40.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2398
40.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3771
63.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14156
17.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
14257
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
46021
55.7 IPS |
|
|
Object Detection (F32)
|
100% |
2793
208.5 IPS |
|
|
Object Detection (F16)
|
100% |
2981
222.5 IPS |
|
|
Object Detection (I8)
|
62% |
2659
198.5 IPS |
|
|
Face Detection (F32)
|
100% |
5776
68.7 IPS |
|
|
Face Detection (F16)
|
100% |
5597
66.6 IPS |
|
|
Face Detection (I8)
|
89% |
5732
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12648
98.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13759
106.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
21380
165.8 IPS |
|
|
Style Transfer (F32)
|
100% |
30448
40.1 IPS |
|
|
Style Transfer (F16)
|
100% |
31320
41.2 IPS |
|
|
Style Transfer (I8)
|
98% |
28807
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5796
207.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5698
203.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7471
266.8 IPS |
|
|
Text Classification (F32)
|
100% |
1935
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1943
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1488
2.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
2933
54.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2967
54.6 IPS |
|
|
Machine Translation (I8)
|
67% |
4520
83.2 IPS |
