LENOVO 82R7
Geekbench ML Score
1815
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 09:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82R7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
904
169.3 IPS |
|
|
Image Classification (F16)
|
100% |
909
170.0 IPS |
|
|
Image Classification (I8)
|
100% |
680
127.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1290
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1317
22.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
978
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8224
9.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
8193
9.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
4315
5.23 IPS |
|
|
Object Detection (F32)
|
100% |
1001
74.7 IPS |
|
|
Object Detection (F16)
|
100% |
1006
75.1 IPS |
|
|
Object Detection (I8)
|
54% |
803
59.9 IPS |
|
|
Face Detection (F32)
|
100% |
1908
22.7 IPS |
|
|
Face Detection (F16)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
1305
15.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4204
32.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4158
32.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3024
23.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17476
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
17405
22.9 IPS |
|
|
Style Transfer (I8)
|
98% |
11421
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2584
92.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2613
93.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1155
41.2 IPS |
|
|
Text Classification (F32)
|
100% |
660
948.8 IPS |
|
|
Text Classification (F16)
|
100% |
647
930.2 IPS |
|
|
Text Classification (I8)
|
98% |
347
498.6 IPS |
|
|
Machine Translation (F32)
|
100% |
812
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
783
14.4 IPS |
|
|
Machine Translation (I8)
|
70% |
414
7.63 IPS |
