LENOVO 21QESIT004
Geekbench ML Score
2961
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 06:05 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 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% |
1865
348.9 IPS |
|
|
Image Classification (F16)
|
100% |
1850
346.1 IPS |
|
|
Image Classification (I8)
|
99% |
3281
613.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1589
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2201
36.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5953
7.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
3977
4.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
16389
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1483
110.7 IPS |
|
|
Object Detection (F16)
|
100% |
1595
119.1 IPS |
|
|
Object Detection (I8)
|
62% |
1427
106.5 IPS |
|
|
Face Detection (F32)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (F16)
|
100% |
2704
32.2 IPS |
|
|
Face Detection (I8)
|
89% |
2545
30.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5749
44.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5376
41.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
11390
88.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12994
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10541
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
17060
22.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2599
92.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2649
94.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4912
175.4 IPS |
|
|
Text Classification (F32)
|
100% |
721
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1072
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1061
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1592
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1194
22.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2145
39.5 IPS |
