LENOVO 21QESIT004
Geekbench ML Score
2866
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 09:34 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 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1860
348.0 IPS |
|
|
Image Classification (F16)
|
100% |
942
176.2 IPS |
|
|
Image Classification (I8)
|
99% |
2413
451.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1157
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2294
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5673
6.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
4908
5.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
16577
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1563
116.7 IPS |
|
|
Object Detection (F16)
|
100% |
744
55.5 IPS |
|
|
Object Detection (I8)
|
62% |
1322
98.7 IPS |
|
|
Face Detection (F32)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (F16)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (I8)
|
89% |
2867
34.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5811
45.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5706
44.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12173
94.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12813
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
9867
13.0 IPS |
|
|
Style Transfer (I8)
|
98% |
17324
22.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2510
89.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2703
96.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4815
172.0 IPS |
|
|
Text Classification (F32)
|
100% |
1086
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1088
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1075
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1675
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1191
21.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2396
44.1 IPS |
