Dynabook Inc. PORTEGE X40L-M
Geekbench ML Score
1828
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 02:20 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE X40L-M |
| Motherboard | Dynabook Inc. OK0123/0000 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1262
236.1 IPS |
|
|
Image Classification (F16)
|
100% |
855
160.0 IPS |
|
|
Image Classification (I8)
|
99% |
2078
388.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
995
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1334
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2485
3.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
3031
3.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
13283
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (F16)
|
100% |
969
72.3 IPS |
|
|
Object Detection (I8)
|
62% |
756
56.5 IPS |
|
|
Face Detection (F32)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (F16)
|
100% |
1957
23.3 IPS |
|
|
Face Detection (I8)
|
89% |
1931
23.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3783
29.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2954
22.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
8283
64.2 IPS |
|
|
Style Transfer (F32)
|
100% |
6842
9.00 IPS |
|
|
Style Transfer (F16)
|
100% |
6241
8.21 IPS |
|
|
Style Transfer (I8)
|
98% |
12523
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1380
49.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1571
56.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2621
93.6 IPS |
|
|
Text Classification (F32)
|
100% |
769
1.11 KIPS |
|
|
Text Classification (F16)
|
100% |
899
1.29 KIPS |
|
|
Text Classification (I8)
|
98% |
343
493.1 IPS |
|
|
Machine Translation (F32)
|
100% |
906
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
780
14.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1079
19.9 IPS |
