HUANAN Default string
Geekbench ML Score
57
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 15 2024 05:50 PM |
| Views | 3 |
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% |
37
6.85 IPS |
|
|
Image Classification (F16)
|
100% |
37
6.85 IPS |
|
|
Image Classification (I8)
|
97% |
28
5.31 IPS |
|
|
Image Segmentation (F32)
|
100% |
50
0.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
50
0.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
37
0.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
58
0.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
58
0.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
47
0.06 IPS |
|
|
Object Detection (F32)
|
100% |
38
2.84 IPS |
|
|
Object Detection (F16)
|
100% |
38
2.84 IPS |
|
|
Object Detection (I8)
|
68% |
30
2.21 IPS |
|
|
Face Detection (F32)
|
100% |
123
1.46 IPS |
|
|
Face Detection (F16)
|
100% |
123
1.46 IPS |
|
|
Face Detection (I8)
|
87% |
91
1.08 IPS |
|
|
Depth Estimation (F32)
|
100% |
86
0.67 IPS |
|
|
Depth Estimation (F16)
|
100% |
86
0.67 IPS |
|
|
Depth Estimation (I8)
|
95% |
67
0.52 IPS |
|
|
Style Transfer (F32)
|
100% |
178
0.23 IPS |
|
|
Style Transfer (F16)
|
100% |
178
0.23 IPS |
|
|
Style Transfer (I8)
|
98% |
143
0.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41
1.45 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
41
1.45 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
31
1.11 IPS |
|
|
Text Classification (F32)
|
100% |
35
49.9 IPS |
|
|
Text Classification (F16)
|
100% |
41
59.5 IPS |
|
|
Text Classification (I8)
|
92% |
29
41.4 IPS |
|
|
Machine Translation (F32)
|
100% |
82
1.51 IPS |
|
|
Machine Translation (F16)
|
100% |
82
1.51 IPS |
|
|
Machine Translation (I8)
|
62% |
52
0.96 IPS |
