LENOVO 21QESIT004
Geekbench ML Score
2720
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 08:59 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1745
326.5 IPS |
|
|
Image Classification (F16)
|
100% |
1686
315.6 IPS |
|
|
Image Classification (I8)
|
99% |
3090
578.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1501
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1563
26.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2523
42.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6459
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
5654
6.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
17660
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1566
116.9 IPS |
|
|
Object Detection (F16)
|
100% |
1394
104.0 IPS |
|
|
Object Detection (I8)
|
62% |
1357
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (F16)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (I8)
|
89% |
2187
26.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3963
30.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4519
35.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
9068
70.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10885
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8035
10.6 IPS |
|
|
Style Transfer (I8)
|
98% |
13429
17.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1948
69.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2368
84.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3949
141.0 IPS |
|
|
Text Classification (F32)
|
100% |
988
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1070
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1058
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1090
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1933
35.6 IPS |
