LENOVO 21QESIT004
Geekbench ML Score
3701
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 05:00 AM |
| Views | 2 |
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% |
2765
517.4 IPS |
|
|
Image Classification (F16)
|
100% |
2774
519.1 IPS |
|
|
Image Classification (I8)
|
99% |
2205
412.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2069
34.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2054
34.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1536
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
12843
15.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
13319
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10253
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
2387
178.2 IPS |
|
|
Object Detection (F16)
|
100% |
2512
187.6 IPS |
|
|
Object Detection (I8)
|
60% |
1973
147.3 IPS |
|
|
Face Detection (F32)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (F16)
|
100% |
2755
32.8 IPS |
|
|
Face Detection (I8)
|
88% |
1841
21.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10187
79.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10213
79.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
7289
56.5 IPS |
|
|
Style Transfer (F32)
|
100% |
38462
50.6 IPS |
|
|
Style Transfer (F16)
|
100% |
38665
50.9 IPS |
|
|
Style Transfer (I8)
|
98% |
24373
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6044
215.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6560
234.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3638
129.9 IPS |
|
|
Text Classification (F32)
|
90% |
826
1.19 KIPS |
|
|
Text Classification (F16)
|
90% |
863
1.24 KIPS |
|
|
Text Classification (I8)
|
90% |
619
889.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1495
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1464
26.9 IPS |
|
|
Machine Translation (I8)
|
70% |
941
17.3 IPS |
