LENOVO 21QESIT004
Geekbench ML Score
5352
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:28 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 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 | 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% |
4093
765.9 IPS |
|
|
Image Classification (F16)
|
100% |
4064
760.4 IPS |
|
|
Image Classification (I8)
|
99% |
3195
597.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3260
54.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3290
55.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2491
41.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23510
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
21675
26.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
18850
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
2257
168.5 IPS |
|
|
Object Detection (F16)
|
100% |
2869
214.2 IPS |
|
|
Object Detection (I8)
|
60% |
2317
173.0 IPS |
|
|
Face Detection (F32)
|
100% |
5637
67.0 IPS |
|
|
Face Detection (F16)
|
100% |
5635
67.0 IPS |
|
|
Face Detection (I8)
|
88% |
3809
45.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16080
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15563
120.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
11394
88.4 IPS |
|
|
Style Transfer (F32)
|
100% |
56104
73.8 IPS |
|
|
Style Transfer (F16)
|
100% |
54029
71.1 IPS |
|
|
Style Transfer (I8)
|
98% |
38331
50.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8455
302.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8745
312.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5517
197.0 IPS |
|
|
Text Classification (F32)
|
90% |
859
1.23 KIPS |
|
|
Text Classification (F16)
|
90% |
873
1.25 KIPS |
|
|
Text Classification (I8)
|
90% |
629
904.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2036
37.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1964
36.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1140
21.0 IPS |
