HUANAN Default string
Geekbench ML Score
1187
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 15 2024 05:26 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | HUANAN Default string |
| Motherboard | HUANANZHI X99-TF |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2678 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 256 KB x 12 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 62.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1192
223.0 IPS |
|
|
Image Classification (F16)
|
100% |
1188
222.4 IPS |
|
|
Image Classification (I8)
|
99% |
570
106.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1525
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
591
9.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
1680
2.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
1686
2.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
2015
2.44 IPS |
|
|
Object Detection (F32)
|
100% |
998
74.5 IPS |
|
|
Object Detection (F16)
|
100% |
1001
74.7 IPS |
|
|
Object Detection (I8)
|
65% |
680
50.8 IPS |
|
|
Face Detection (F32)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (I8)
|
87% |
1331
15.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1604
12.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1604
12.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
1378
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1903
2.50 IPS |
|
|
Style Transfer (F16)
|
100% |
1902
2.50 IPS |
|
|
Style Transfer (I8)
|
98% |
3097
4.07 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1162
41.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1170
41.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
879
31.4 IPS |
|
|
Text Classification (F32)
|
100% |
908
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
905
1.30 KIPS |
|
|
Text Classification (I8)
|
92% |
274
394.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1527
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1530
28.2 IPS |
|
|
Machine Translation (I8)
|
62% |
361
6.65 IPS |
