LENOVO 21QESIT004
Geekbench ML Score
4107
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:52 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% |
3064
573.4 IPS |
|
|
Image Classification (F16)
|
100% |
3040
568.9 IPS |
|
|
Image Classification (I8)
|
99% |
2472
462.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2364
39.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2348
39.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1735
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
15930
19.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
15887
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12176
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
2476
184.8 IPS |
|
|
Object Detection (F16)
|
100% |
2616
195.3 IPS |
|
|
Object Detection (I8)
|
60% |
2096
156.5 IPS |
|
|
Face Detection (F32)
|
100% |
3167
37.7 IPS |
|
|
Face Detection (F16)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (I8)
|
88% |
2128
25.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11367
88.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11453
88.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
8217
63.7 IPS |
|
|
Style Transfer (F32)
|
100% |
42616
56.1 IPS |
|
|
Style Transfer (F16)
|
100% |
42610
56.0 IPS |
|
|
Style Transfer (I8)
|
98% |
27405
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6606
235.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7351
262.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3953
141.2 IPS |
|
|
Text Classification (F32)
|
90% |
859
1.23 KIPS |
|
|
Text Classification (F16)
|
90% |
868
1.25 KIPS |
|
|
Text Classification (I8)
|
90% |
623
896.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1644
30.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1658
30.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1006
18.5 IPS |
