LENOVO 21QESIT004
Geekbench ML Score
2084
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 04:46 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1514
283.3 IPS |
|
|
Image Classification (F16)
|
100% |
329
61.5 IPS |
|
|
Image Classification (I8)
|
99% |
1479
276.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
953
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1048
17.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2075
34.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5099
6.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
2947
3.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
14286
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1467
109.5 IPS |
|
|
Object Detection (F16)
|
100% |
1113
83.1 IPS |
|
|
Object Detection (I8)
|
62% |
1330
99.3 IPS |
|
|
Face Detection (F32)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (F16)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (I8)
|
89% |
1845
21.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3257
25.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3827
29.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
7939
61.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9197
12.1 IPS |
|
|
Style Transfer (F16)
|
100% |
6437
8.47 IPS |
|
|
Style Transfer (I8)
|
98% |
10894
14.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1523
54.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2418
86.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3665
130.9 IPS |
|
|
Text Classification (F32)
|
100% |
1021
1.47 KIPS |
|
|
Text Classification (F16)
|
100% |
934
1.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1044
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
902
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
762
14.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1897
34.9 IPS |
