LENOVO 21QESIT004
Geekbench ML Score
2843
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:42 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 2 |
| L3 Cache | 24.0 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% |
1803
337.3 IPS |
|
|
Image Classification (F16)
|
100% |
1787
334.3 IPS |
|
|
Image Classification (I8)
|
99% |
3290
615.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1161
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
18.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2490
41.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5586
6.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
4558
5.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
15295
18.5 IPS |
|
|
Object Detection (F32)
|
100% |
1175
87.7 IPS |
|
|
Object Detection (F16)
|
100% |
1249
93.2 IPS |
|
|
Object Detection (I8)
|
62% |
1393
104.0 IPS |
|
|
Face Detection (F32)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (F16)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (I8)
|
89% |
2109
25.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5232
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5506
42.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
10951
84.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13061
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
9750
12.8 IPS |
|
|
Style Transfer (I8)
|
98% |
14258
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2681
95.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2774
99.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4891
174.7 IPS |
|
|
Text Classification (F32)
|
100% |
1100
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1134
1.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1069
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1930
35.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1177
21.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2450
45.1 IPS |
