HUANANZHI
Geekbench ML Score
1410
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | virgilio77 |
| Upload Date | August 16 2024 11:06 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% |
1216
227.6 IPS |
|
|
Image Classification (F16)
|
100% |
1236
231.3 IPS |
|
|
Image Classification (I8)
|
99% |
625
116.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1681
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1693
28.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
607
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1953
2.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
2009
2.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
2506
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
1396
104.2 IPS |
|
|
Object Detection (F16)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (I8)
|
65% |
878
65.5 IPS |
|
|
Face Detection (F32)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (F16)
|
100% |
2234
26.6 IPS |
|
|
Face Detection (I8)
|
87% |
1608
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1993
15.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1993
15.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1559
12.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2422
3.19 IPS |
|
|
Style Transfer (F16)
|
100% |
2482
3.27 IPS |
|
|
Style Transfer (I8)
|
98% |
4169
5.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1303
46.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1378
49.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1097
39.2 IPS |
|
|
Text Classification (F32)
|
100% |
1033
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1043
1.50 KIPS |
|
|
Text Classification (I8)
|
92% |
340
488.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1739
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
31.1 IPS |
|
|
Machine Translation (I8)
|
62% |
477
8.77 IPS |
