LENOVO 21QESIT004
Geekbench ML Score
3726
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 05:02 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2737
512.2 IPS |
|
|
Image Classification (F16)
|
100% |
2673
500.2 IPS |
|
|
Image Classification (I8)
|
99% |
2238
418.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2090
34.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2081
34.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1542
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
12394
15.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
13500
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10357
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
2484
185.5 IPS |
|
|
Object Detection (F16)
|
100% |
2516
187.8 IPS |
|
|
Object Detection (I8)
|
60% |
2125
158.6 IPS |
|
|
Face Detection (F32)
|
100% |
2730
32.5 IPS |
|
|
Face Detection (F16)
|
100% |
2704
32.1 IPS |
|
|
Face Detection (I8)
|
88% |
1856
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10242
79.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10528
81.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
7343
56.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39507
52.0 IPS |
|
|
Style Transfer (F16)
|
100% |
37968
49.9 IPS |
|
|
Style Transfer (I8)
|
98% |
24207
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6330
226.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6347
226.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3762
134.4 IPS |
|
|
Text Classification (F32)
|
90% |
825
1.19 KIPS |
|
|
Text Classification (F16)
|
90% |
843
1.21 KIPS |
|
|
Text Classification (I8)
|
90% |
628
903.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1499
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1488
27.4 IPS |
|
|
Machine Translation (I8)
|
70% |
940
17.3 IPS |
