LENOVO 21QESIT004
Geekbench ML Score
3063
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 08:39 AM |
| Views | 8 |
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% |
1673
313.1 IPS |
|
|
Image Classification (F16)
|
100% |
1597
298.9 IPS |
|
|
Image Classification (I8)
|
99% |
3028
566.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2619
43.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5843
7.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
5705
6.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
21878
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
1549
115.7 IPS |
|
|
Object Detection (F16)
|
100% |
1537
114.8 IPS |
|
|
Object Detection (I8)
|
62% |
1579
117.9 IPS |
|
|
Face Detection (F32)
|
100% |
2654
31.6 IPS |
|
|
Face Detection (F16)
|
100% |
2545
30.3 IPS |
|
|
Face Detection (I8)
|
89% |
3450
41.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5816
45.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5026
39.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
11334
87.9 IPS |
|
|
Style Transfer (F32)
|
100% |
11815
15.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12306
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
13731
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2438
87.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2416
86.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4453
159.0 IPS |
|
|
Text Classification (F32)
|
100% |
1044
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1102
1.58 KIPS |
|
|
Text Classification (I8)
|
98% |
1052
1.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
1644
30.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2707
49.8 IPS |
