Dynabook Inc. TECRA A40-K
Geekbench ML Score
2355
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 02:05 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dynabook Inc. TECRA A40-K |
| Motherboard | Dynabook Inc. OK011B/0003 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) CoreT i7-1370P |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1346
251.9 IPS |
|
|
Image Classification (F16)
|
100% |
1478
276.6 IPS |
|
|
Image Classification (I8)
|
99% |
2810
525.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1200
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1228
20.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2056
34.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4540
5.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
4471
5.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
15618
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1204
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
1229
91.8 IPS |
|
|
Object Detection (I8)
|
62% |
1380
103.0 IPS |
|
|
Face Detection (F32)
|
100% |
1350
16.1 IPS |
|
|
Face Detection (F16)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (I8)
|
89% |
1969
23.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4789
37.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4465
34.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
9135
70.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9986
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10262
13.5 IPS |
|
|
Style Transfer (I8)
|
98% |
8878
11.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2395
85.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2291
81.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3319
118.5 IPS |
|
|
Text Classification (F32)
|
100% |
1144
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1140
1.64 KIPS |
|
|
Text Classification (I8)
|
98% |
335
481.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1197
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1211
22.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1880
34.6 IPS |
