LENOVO 21QESIT004
Geekbench ML Score
2830
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:45 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 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1849
346.1 IPS |
|
|
Image Classification (F16)
|
100% |
1651
309.0 IPS |
|
|
Image Classification (I8)
|
99% |
1751
327.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1171
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1292
21.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2464
41.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5393
6.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
4547
5.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
16622
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
1487
111.0 IPS |
|
|
Object Detection (I8)
|
62% |
1517
113.3 IPS |
|
|
Face Detection (F32)
|
100% |
2646
31.5 IPS |
|
|
Face Detection (F16)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (I8)
|
89% |
2160
25.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5321
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5686
44.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12076
93.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12972
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10530
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
14532
19.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2561
91.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2779
99.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5007
178.8 IPS |
|
|
Text Classification (F32)
|
100% |
1100
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1069
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1610
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1196
22.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1872
34.5 IPS |
