LENOVO 21QESIT004
Geekbench ML Score
5328
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:27 AM |
| Views | 4 |
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 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3962
741.4 IPS |
|
|
Image Classification (F16)
|
100% |
4014
751.1 IPS |
|
|
Image Classification (I8)
|
99% |
3194
597.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3375
56.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3240
54.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2427
40.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23280
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
23745
28.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12779
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
2929
218.6 IPS |
|
|
Object Detection (F16)
|
100% |
3464
258.6 IPS |
|
|
Object Detection (I8)
|
60% |
2639
197.0 IPS |
|
|
Face Detection (F32)
|
100% |
5615
66.8 IPS |
|
|
Face Detection (F16)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (I8)
|
88% |
3816
45.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
14458
112.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15081
117.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
11356
88.1 IPS |
|
|
Style Transfer (F32)
|
100% |
55391
72.9 IPS |
|
|
Style Transfer (F16)
|
100% |
54086
71.1 IPS |
|
|
Style Transfer (I8)
|
98% |
38497
50.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8447
301.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8075
288.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5544
198.0 IPS |
|
|
Text Classification (F32)
|
90% |
831
1.19 KIPS |
|
|
Text Classification (F16)
|
90% |
861
1.24 KIPS |
|
|
Text Classification (I8)
|
90% |
614
883.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1949
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1915
35.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1156
21.3 IPS |
