HUANANZHI
Geekbench ML Score
1212
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | virgilio77 |
| Upload Date | August 16 2024 09:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | LMDE 6 (faye) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-QD4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 256 KB x 16 |
| L3 Cache | 40.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 125.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1188
222.3 IPS |
|
|
Image Classification (F16)
|
100% |
1141
213.4 IPS |
|
|
Image Classification (I8)
|
99% |
615
115.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1480
24.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
516
8.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
1907
2.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
1970
2.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
2186
2.65 IPS |
|
|
Object Detection (F32)
|
100% |
1195
89.2 IPS |
|
|
Object Detection (F16)
|
100% |
1184
88.4 IPS |
|
|
Object Detection (I8)
|
65% |
828
61.8 IPS |
|
|
Face Detection (F32)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (F16)
|
100% |
1880
22.4 IPS |
|
|
Face Detection (I8)
|
87% |
1304
15.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1602
12.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1677
13.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
1197
9.28 IPS |
|
|
Style Transfer (F32)
|
100% |
2127
2.80 IPS |
|
|
Style Transfer (F16)
|
100% |
2120
2.79 IPS |
|
|
Style Transfer (I8)
|
98% |
3232
4.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1117
39.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1109
39.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
932
33.3 IPS |
|
|
Text Classification (F32)
|
100% |
869
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
815
1.17 KIPS |
|
|
Text Classification (I8)
|
92% |
296
426.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1477
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1450
26.7 IPS |
|
|
Machine Translation (I8)
|
62% |
344
6.32 IPS |
