LENOVO 21QESIT004
Geekbench ML Score
3230
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 07:39 AM |
| Views | 5 |
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% |
1686
315.5 IPS |
|
|
Image Classification (F16)
|
100% |
1648
308.3 IPS |
|
|
Image Classification (I8)
|
99% |
3124
584.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1412
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1438
24.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2713
45.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5941
7.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
6007
7.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
22952
27.8 IPS |
|
|
Object Detection (F32)
|
100% |
1459
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1601
119.5 IPS |
|
|
Object Detection (I8)
|
62% |
1556
116.1 IPS |
|
|
Face Detection (F32)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (F16)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (I8)
|
89% |
3478
41.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5945
46.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6313
49.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12646
98.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12657
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13340
17.5 IPS |
|
|
Style Transfer (I8)
|
98% |
15896
20.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2925
104.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2986
106.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4857
173.5 IPS |
|
|
Text Classification (F32)
|
100% |
1089
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1085
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1001
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
1729
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1739
32.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2967
54.6 IPS |
