LENOVO 21QESIT004
Geekbench ML Score
3273
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 07:42 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| Power Plan | Balanced |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1697
317.6 IPS |
|
|
Image Classification (F16)
|
100% |
1688
315.9 IPS |
|
|
Image Classification (I8)
|
99% |
3051
570.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1456
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1400
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2669
44.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6243
7.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
6120
7.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
24102
29.2 IPS |
|
|
Object Detection (F32)
|
100% |
1667
124.5 IPS |
|
|
Object Detection (F16)
|
100% |
1593
119.0 IPS |
|
|
Object Detection (I8)
|
62% |
1587
118.5 IPS |
|
|
Face Detection (F32)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (F16)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (I8)
|
89% |
3594
42.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5967
46.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5940
46.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13429
104.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13777
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13796
18.1 IPS |
|
|
Style Transfer (I8)
|
98% |
16040
21.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2727
97.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2831
101.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4656
166.3 IPS |
|
|
Text Classification (F32)
|
100% |
1124
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1097
1.58 KIPS |
|
|
Text Classification (I8)
|
98% |
1021
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1766
32.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1777
32.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3057
56.3 IPS |
