LENOVO 21QESIT004
Geekbench ML Score
4067
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:49 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 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) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3032
567.3 IPS |
|
|
Image Classification (F16)
|
100% |
3039
568.6 IPS |
|
|
Image Classification (I8)
|
99% |
2464
461.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2335
39.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2315
38.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1744
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
15968
19.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
15780
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12231
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
2337
174.5 IPS |
|
|
Object Detection (F16)
|
100% |
2554
190.7 IPS |
|
|
Object Detection (I8)
|
60% |
2005
149.7 IPS |
|
|
Face Detection (F32)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (F16)
|
100% |
3159
37.6 IPS |
|
|
Face Detection (I8)
|
88% |
2093
24.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
11328
87.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11865
92.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
8198
63.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41813
55.0 IPS |
|
|
Style Transfer (F16)
|
100% |
41885
55.1 IPS |
|
|
Style Transfer (I8)
|
98% |
26936
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6522
232.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7220
257.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3965
141.6 IPS |
|
|
Text Classification (F32)
|
90% |
871
1.25 KIPS |
|
|
Text Classification (F16)
|
90% |
829
1.19 KIPS |
|
|
Text Classification (I8)
|
90% |
631
906.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1646
30.3 IPS |
|
|
Machine Translation (I8)
|
70% |
998
18.4 IPS |
