LENOVO INVALID
Geekbench ML Score
5696
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:11 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3014
563.9 IPS |
|
|
Image Classification (F16)
|
100% |
3009
563.0 IPS |
|
|
Image Classification (I8)
|
99% |
4880
913.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1637
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1666
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4259
71.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14191
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13910
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
45578
55.2 IPS |
|
|
Object Detection (F32)
|
100% |
2722
203.2 IPS |
|
|
Object Detection (F16)
|
100% |
2896
216.2 IPS |
|
|
Object Detection (I8)
|
62% |
2651
197.9 IPS |
|
|
Face Detection (F32)
|
100% |
5183
61.6 IPS |
|
|
Face Detection (F16)
|
100% |
5194
61.8 IPS |
|
|
Face Detection (I8)
|
89% |
5726
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12231
94.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13040
101.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
20637
160.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29394
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
30849
40.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27634
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5589
199.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5527
197.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7303
260.8 IPS |
|
|
Text Classification (F32)
|
100% |
1896
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1883
2.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1465
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
2677
49.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2733
50.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4386
80.7 IPS |
