LENOVO 21QESIT004
Geekbench ML Score
2921
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 09:27 AM |
| Views | 10 |
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 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1863
348.6 IPS |
|
|
Image Classification (F16)
|
100% |
1799
336.6 IPS |
|
|
Image Classification (I8)
|
99% |
2484
464.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1311
21.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2516
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5334
6.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
4460
5.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
16388
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1563
116.7 IPS |
|
|
Object Detection (F16)
|
100% |
1581
118.1 IPS |
|
|
Object Detection (I8)
|
62% |
1471
109.8 IPS |
|
|
Face Detection (F32)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (F16)
|
100% |
2483
29.5 IPS |
|
|
Face Detection (I8)
|
89% |
2295
27.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5324
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5273
40.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11599
90.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12874
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
9913
13.0 IPS |
|
|
Style Transfer (I8)
|
98% |
15902
20.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2553
91.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2330
83.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4812
171.8 IPS |
|
|
Text Classification (F32)
|
100% |
1112
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1106
1.59 KIPS |
|
|
Text Classification (I8)
|
98% |
1048
1.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
1940
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1153
21.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2349
43.2 IPS |
