LENOVO 21QESIT004
Geekbench ML Score
3519
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 25 2025 07:49 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| Power Plan | Balanced |
| 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% |
1871
350.0 IPS |
|
|
Image Classification (F16)
|
100% |
1668
312.2 IPS |
|
|
Image Classification (I8)
|
99% |
3040
568.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1543
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2680
44.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6844
8.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
6743
8.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
24914
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
1145
85.5 IPS |
|
|
Object Detection (F16)
|
100% |
1798
134.2 IPS |
|
|
Object Detection (I8)
|
62% |
1635
122.1 IPS |
|
|
Face Detection (F32)
|
100% |
3801
45.2 IPS |
|
|
Face Detection (F16)
|
100% |
3790
45.1 IPS |
|
|
Face Detection (I8)
|
89% |
4452
52.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7525
58.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7494
58.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14615
113.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14814
19.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15557
20.5 IPS |
|
|
Style Transfer (I8)
|
98% |
21688
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2989
106.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3034
108.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5059
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
600
861.6 IPS |
|
|
Text Classification (F16)
|
100% |
1122
1.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1103
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1975
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1927
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3182
58.6 IPS |
