LENOVO 21QESIT004
Geekbench ML Score
2816
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 09:32 AM |
| Views | 5 |
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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1814
339.5 IPS |
|
|
Image Classification (F16)
|
100% |
1761
329.6 IPS |
|
|
Image Classification (I8)
|
99% |
1927
360.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1180
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1356
22.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2257
37.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6206
7.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
4721
5.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
13819
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1406
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
1573
117.4 IPS |
|
|
Object Detection (I8)
|
62% |
1312
98.0 IPS |
|
|
Face Detection (F32)
|
100% |
3396
40.4 IPS |
|
|
Face Detection (F16)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (I8)
|
89% |
2804
33.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5837
45.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5695
44.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
11749
91.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12846
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11139
14.7 IPS |
|
|
Style Transfer (I8)
|
98% |
16427
21.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2584
92.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2621
93.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3086
110.2 IPS |
|
|
Text Classification (F32)
|
100% |
1007
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1064
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1071
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1533
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
780
14.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2049
37.7 IPS |
