LENOVO 21QESIT004
Geekbench ML Score
2940
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1852
346.6 IPS |
|
|
Image Classification (F16)
|
100% |
1805
337.8 IPS |
|
|
Image Classification (I8)
|
99% |
2639
493.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1115
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1328
22.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2405
40.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5914
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
4445
5.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
17223
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
1485
110.8 IPS |
|
|
Object Detection (F16)
|
100% |
1497
111.8 IPS |
|
|
Object Detection (I8)
|
62% |
1503
112.2 IPS |
|
|
Face Detection (F32)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (F16)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (I8)
|
89% |
2499
29.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5654
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5250
40.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
11652
90.4 IPS |
|
|
Style Transfer (F32)
|
100% |
13124
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10434
13.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14903
19.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2690
96.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2560
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4867
173.8 IPS |
|
|
Text Classification (F32)
|
100% |
1087
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1096
1.58 KIPS |
|
|
Text Classification (I8)
|
98% |
1063
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1629
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1190
21.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2584
47.5 IPS |
