LENOVO 21QESIT004
Geekbench ML Score
4104
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:48 AM |
| Views | 2 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3082
576.6 IPS |
|
|
Image Classification (F16)
|
100% |
3043
569.5 IPS |
|
|
Image Classification (I8)
|
99% |
2476
463.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2317
38.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2352
39.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1731
28.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
15872
19.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
15804
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12114
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
2657
198.3 IPS |
|
|
Object Detection (F16)
|
100% |
2415
180.3 IPS |
|
|
Object Detection (I8)
|
60% |
2093
156.3 IPS |
|
|
Face Detection (F32)
|
100% |
3160
37.6 IPS |
|
|
Face Detection (F16)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (I8)
|
88% |
2163
25.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
11597
89.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11737
91.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
8415
65.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41392
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
42931
56.5 IPS |
|
|
Style Transfer (I8)
|
98% |
26941
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7469
266.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6280
224.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4007
143.1 IPS |
|
|
Text Classification (F32)
|
90% |
842
1.21 KIPS |
|
|
Text Classification (F16)
|
90% |
856
1.23 KIPS |
|
|
Text Classification (I8)
|
90% |
636
913.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1663
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1627
29.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1017
18.7 IPS |
