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 06:32 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3010
563.2 IPS |
|
|
Image Classification (F16)
|
100% |
2807
525.2 IPS |
|
|
Image Classification (I8)
|
99% |
5060
946.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2428
40.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2417
40.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3790
63.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14071
17.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
14107
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
43978
53.3 IPS |
|
|
Object Detection (F32)
|
100% |
2957
220.8 IPS |
|
|
Object Detection (F16)
|
100% |
2928
218.6 IPS |
|
|
Object Detection (I8)
|
62% |
2552
190.5 IPS |
|
|
Face Detection (F32)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (F16)
|
100% |
5143
61.2 IPS |
|
|
Face Detection (I8)
|
89% |
5401
64.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12869
99.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
12914
100.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
20808
161.4 IPS |
|
|
Style Transfer (F32)
|
100% |
31555
41.5 IPS |
|
|
Style Transfer (F16)
|
100% |
29878
39.3 IPS |
|
|
Style Transfer (I8)
|
98% |
26248
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5839
208.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5916
211.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7504
268.0 IPS |
|
|
Text Classification (F32)
|
100% |
1915
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1929
2.77 KIPS |
|
|
Text Classification (I8)
|
98% |
1457
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
2934
54.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2898
53.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4286
78.9 IPS |
