LENOVO 21QESIT004
Geekbench ML Score
3490
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 04:59 AM |
| Views | 3 |
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% |
2344
438.6 IPS |
|
|
Image Classification (F16)
|
100% |
2689
503.2 IPS |
|
|
Image Classification (I8)
|
99% |
2094
391.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2079
34.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2103
35.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1527
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12442
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12773
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9885
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
1703
127.1 IPS |
|
|
Object Detection (F16)
|
100% |
2177
162.6 IPS |
|
|
Object Detection (I8)
|
60% |
1396
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (F16)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (I8)
|
88% |
1838
21.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9537
74.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10190
79.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
7506
58.2 IPS |
|
|
Style Transfer (F32)
|
100% |
34865
45.9 IPS |
|
|
Style Transfer (F16)
|
100% |
38758
51.0 IPS |
|
|
Style Transfer (I8)
|
98% |
24827
32.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5480
195.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6539
233.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3733
133.3 IPS |
|
|
Text Classification (F32)
|
90% |
639
917.7 IPS |
|
|
Text Classification (F16)
|
90% |
837
1.20 KIPS |
|
|
Text Classification (I8)
|
90% |
606
870.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1433
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1457
26.8 IPS |
|
|
Machine Translation (I8)
|
70% |
926
17.0 IPS |
