LENOVO 21QESIT004
Geekbench ML Score
1285
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 04:52 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
499
93.5 IPS |
|
|
Image Classification (F16)
|
100% |
474
88.6 IPS |
|
|
Image Classification (I8)
|
99% |
1136
212.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
569
9.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
605
10.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1504
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1469
1.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
1107
1.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
10353
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
535
40.0 IPS |
|
|
Object Detection (F16)
|
100% |
693
51.8 IPS |
|
|
Object Detection (I8)
|
62% |
797
59.5 IPS |
|
|
Face Detection (F32)
|
100% |
828
9.84 IPS |
|
|
Face Detection (F16)
|
100% |
826
9.82 IPS |
|
|
Face Detection (I8)
|
89% |
1433
17.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3311
25.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3385
26.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8112
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4591
6.04 IPS |
|
|
Style Transfer (F16)
|
100% |
3110
4.09 IPS |
|
|
Style Transfer (I8)
|
98% |
9205
12.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1077
38.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2193
78.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3212
114.7 IPS |
|
|
Text Classification (F32)
|
100% |
490
704.1 IPS |
|
|
Text Classification (F16)
|
100% |
540
776.0 IPS |
|
|
Text Classification (I8)
|
98% |
473
679.5 IPS |
|
|
Machine Translation (F32)
|
100% |
408
7.50 IPS |
|
|
Machine Translation (F16)
|
100% |
516
9.49 IPS |
|
|
Machine Translation (I8)
|
67% |
1157
21.3 IPS |
