LENOVO 21QESIT004
Geekbench ML Score
2483
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 08:50 AM |
| Views | 6 |
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% |
1438
269.1 IPS |
|
|
Image Classification (F16)
|
100% |
715
133.8 IPS |
|
|
Image Classification (I8)
|
99% |
1023
191.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
402
6.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
726
12.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2008
33.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5509
6.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
3197
3.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
15067
18.2 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.4 IPS |
|
|
Object Detection (F16)
|
100% |
1325
98.9 IPS |
|
|
Object Detection (I8)
|
62% |
1196
89.3 IPS |
|
|
Face Detection (F32)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (F16)
|
100% |
1855
22.1 IPS |
|
|
Face Detection (I8)
|
89% |
2255
26.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2955
22.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3015
23.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11331
87.9 IPS |
|
|
Style Transfer (F32)
|
100% |
14575
19.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13641
17.9 IPS |
|
|
Style Transfer (I8)
|
98% |
22197
29.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2873
102.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2325
83.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4858
173.5 IPS |
|
|
Text Classification (F32)
|
100% |
1087
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1096
1.57 KIPS |
|
|
Text Classification (I8)
|
98% |
1033
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1799
33.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3110
57.2 IPS |
