LENOVO 21QESIT004
Geekbench ML Score
2889
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 06:07 AM |
| Views | 9 |
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% |
1863
348.5 IPS |
|
|
Image Classification (F16)
|
100% |
1572
294.1 IPS |
|
|
Image Classification (I8)
|
99% |
2455
459.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1149
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1341
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2488
41.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5851
7.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
4093
4.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
16830
20.4 IPS |
|
|
Object Detection (F32)
|
100% |
1477
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
1537
114.8 IPS |
|
|
Object Detection (I8)
|
62% |
1463
109.2 IPS |
|
|
Face Detection (F32)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (F16)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (I8)
|
89% |
2568
30.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5702
44.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5636
43.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12059
93.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12739
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
8161
10.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14579
19.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2570
91.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2519
90.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4768
170.3 IPS |
|
|
Text Classification (F32)
|
100% |
1102
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1076
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1059
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1633
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1193
21.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2499
46.0 IPS |
