LENOVO 21QESIT004
Geekbench ML Score
3103
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 06:23 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 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% |
1688
315.8 IPS |
|
|
Image Classification (F16)
|
100% |
1584
296.5 IPS |
|
|
Image Classification (I8)
|
99% |
3081
576.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1376
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1369
22.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2673
44.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5665
6.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
6034
7.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
22357
27.1 IPS |
|
|
Object Detection (F32)
|
100% |
1506
112.4 IPS |
|
|
Object Detection (F16)
|
100% |
1418
105.9 IPS |
|
|
Object Detection (I8)
|
62% |
1403
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (I8)
|
89% |
3392
40.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5688
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5758
44.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12559
97.4 IPS |
|
|
Style Transfer (F32)
|
100% |
13250
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12668
16.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14992
19.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2680
95.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2668
95.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4612
164.7 IPS |
|
|
Text Classification (F32)
|
100% |
1048
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1060
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1011
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1714
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
31.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2715
50.0 IPS |
