ASUS All Series
Geekbench ML Score
762
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 02:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. H97-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4690S |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
635
118.9 IPS |
|
|
Image Classification (F16)
|
100% |
656
122.7 IPS |
|
|
Image Classification (I8)
|
99% |
393
73.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
706
11.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
429
7.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
1023
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1019
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
965
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
662
49.4 IPS |
|
|
Object Detection (F16)
|
100% |
663
49.5 IPS |
|
|
Object Detection (I8)
|
65% |
463
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
984
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
985
11.7 IPS |
|
|
Face Detection (I8)
|
87% |
938
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
961
7.45 IPS |
|
|
Depth Estimation (F16)
|
100% |
960
7.44 IPS |
|
|
Depth Estimation (I8)
|
95% |
962
7.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1239
1.63 IPS |
|
|
Style Transfer (F16)
|
100% |
1283
1.69 IPS |
|
|
Style Transfer (I8)
|
98% |
1964
2.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
551
19.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
556
19.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
564
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
913
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
904
1.30 KIPS |
|
|
Text Classification (I8)
|
92% |
299
430.0 IPS |
|
|
Machine Translation (F32)
|
100% |
984
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
983
18.1 IPS |
|
|
Machine Translation (I8)
|
62% |
395
7.27 IPS |
