LENOVO 21QESIT004
Geekbench ML Score
2747
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 08:45 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% |
1697
317.6 IPS |
|
|
Image Classification (F16)
|
100% |
1599
299.2 IPS |
|
|
Image Classification (I8)
|
99% |
3037
568.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2330
38.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5636
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
4612
5.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
18810
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
1457
108.7 IPS |
|
|
Object Detection (F16)
|
100% |
1451
108.3 IPS |
|
|
Object Detection (I8)
|
62% |
1462
109.1 IPS |
|
|
Face Detection (F32)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (F16)
|
100% |
2579
30.7 IPS |
|
|
Face Detection (I8)
|
89% |
3469
41.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5970
46.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6062
47.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
11497
89.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12322
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
7449
9.80 IPS |
|
|
Style Transfer (I8)
|
98% |
10647
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1774
63.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2106
75.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3966
141.6 IPS |
|
|
Text Classification (F32)
|
100% |
1005
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
989
1.42 KIPS |
|
|
Text Classification (I8)
|
98% |
1017
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1015
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1872
34.5 IPS |
