LENOVO 21QESIT004
Geekbench ML Score
2897
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:59 AM |
| Views | 12 |
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 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1893
354.2 IPS |
|
|
Image Classification (F16)
|
100% |
1410
263.9 IPS |
|
|
Image Classification (I8)
|
99% |
2348
439.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1138
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1316
22.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2498
41.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5498
6.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
3644
4.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
18111
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1395
104.2 IPS |
|
|
Object Detection (F16)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (I8)
|
62% |
1459
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
2806
33.4 IPS |
|
|
Face Detection (F16)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (I8)
|
89% |
2813
33.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4183
32.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5419
42.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
11719
90.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13632
17.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10610
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
14820
19.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2630
93.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2678
95.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4807
171.7 IPS |
|
|
Text Classification (F32)
|
100% |
1106
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1152
1.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1083
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1758
32.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1210
22.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2535
46.7 IPS |
