LENOVO 21QESIT004
Geekbench ML Score
4213
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 09:04 AM |
| Views | 6 |
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 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3125
584.9 IPS |
|
|
Image Classification (F16)
|
100% |
3193
597.5 IPS |
|
|
Image Classification (I8)
|
99% |
2580
482.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2494
41.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2501
41.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1813
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
18074
21.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
17665
21.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13024
15.8 IPS |
|
|
Object Detection (F32)
|
100% |
2590
193.3 IPS |
|
|
Object Detection (F16)
|
100% |
2544
189.9 IPS |
|
|
Object Detection (I8)
|
60% |
1600
119.4 IPS |
|
|
Face Detection (F32)
|
100% |
3404
40.5 IPS |
|
|
Face Detection (F16)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (I8)
|
88% |
2294
27.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11795
91.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12342
95.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
8848
68.6 IPS |
|
|
Style Transfer (F32)
|
100% |
44316
58.3 IPS |
|
|
Style Transfer (F16)
|
100% |
44504
58.5 IPS |
|
|
Style Transfer (I8)
|
98% |
28093
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5263
188.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7019
250.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4200
150.0 IPS |
|
|
Text Classification (F32)
|
90% |
873
1.25 KIPS |
|
|
Text Classification (F16)
|
90% |
848
1.22 KIPS |
|
|
Text Classification (I8)
|
90% |
635
912.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1707
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1714
31.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1055
19.4 IPS |
