LENOVO 21QESIT004
Geekbench ML Score
3637
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 25 2025 01:51 PM |
| Views | 9 |
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 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2156
403.5 IPS |
|
|
Image Classification (F16)
|
100% |
2156
403.4 IPS |
|
|
Image Classification (I8)
|
99% |
1710
320.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2698
45.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2696
45.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2066
34.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
19545
23.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
20234
24.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
15838
19.2 IPS |
|
|
Object Detection (F32)
|
100% |
1570
117.2 IPS |
|
|
Object Detection (F16)
|
100% |
1696
126.6 IPS |
|
|
Object Detection (I8)
|
60% |
1433
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
4296
51.1 IPS |
|
|
Face Detection (F16)
|
100% |
4358
51.8 IPS |
|
|
Face Detection (I8)
|
88% |
3079
36.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12042
93.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12053
93.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
9327
72.3 IPS |
|
|
Style Transfer (F32)
|
100% |
47670
62.7 IPS |
|
|
Style Transfer (F16)
|
100% |
44742
58.9 IPS |
|
|
Style Transfer (I8)
|
98% |
31540
41.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5802
207.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5398
192.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3904
139.4 IPS |
|
|
Text Classification (F32)
|
90% |
419
602.2 IPS |
|
|
Text Classification (F16)
|
90% |
403
579.7 IPS |
|
|
Text Classification (I8)
|
90% |
245
352.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (I8)
|
70% |
759
14.0 IPS |
