LENOVO 21QESIT004
Geekbench ML Score
3396
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 09:28 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1753
328.0 IPS |
|
|
Image Classification (F16)
|
100% |
1729
323.6 IPS |
|
|
Image Classification (I8)
|
99% |
3103
580.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1490
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1522
25.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2621
43.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6172
7.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
6077
7.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
23102
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
1691
126.3 IPS |
|
|
Object Detection (F16)
|
100% |
1648
123.0 IPS |
|
|
Object Detection (I8)
|
62% |
1516
113.2 IPS |
|
|
Face Detection (F32)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (F16)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (I8)
|
89% |
4206
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6412
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6135
47.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
13639
105.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13911
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14109
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
20751
27.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2588
92.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2617
93.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4770
170.4 IPS |
|
|
Text Classification (F32)
|
100% |
1112
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1042
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
1030
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1829
33.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1794
33.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2627
48.3 IPS |
