LENOVO 21QESIT004
Geekbench ML Score
2851
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:24 AM |
| Views | 4 |
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% |
1857
347.6 IPS |
|
|
Image Classification (F16)
|
100% |
1809
338.5 IPS |
|
|
Image Classification (I8)
|
99% |
2327
435.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1133
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1341
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2483
41.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5738
6.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
2816
3.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
13741
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1530
114.2 IPS |
|
|
Object Detection (F16)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (I8)
|
62% |
1394
104.0 IPS |
|
|
Face Detection (F32)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (F16)
|
100% |
2020
24.0 IPS |
|
|
Face Detection (I8)
|
89% |
2546
30.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5099
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5868
45.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
11602
90.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11308
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
9144
12.0 IPS |
|
|
Style Transfer (I8)
|
98% |
17270
22.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2564
91.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2707
96.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4930
176.1 IPS |
|
|
Text Classification (F32)
|
100% |
1116
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1116
1.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1066
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1180
21.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2530
46.6 IPS |
