Vultr VCG
Geekbench ML Score
1087
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | June 11 2024 07:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Vultr VCG |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core Processor (Broadwell, no TSX, IBRS) |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 2 |
| Base Frequency | 2.79 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 4.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 58.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
819
153.3 IPS |
|
|
Image Classification (F16)
|
100% |
812
151.9 IPS |
|
|
Image Classification (I8)
|
99% |
483
90.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1271
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1239
20.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
543
9.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
1454
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
1438
1.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
1356
1.64 IPS |
|
|
Object Detection (F32)
|
100% |
807
60.2 IPS |
|
|
Object Detection (F16)
|
100% |
880
65.7 IPS |
|
|
Object Detection (I8)
|
65% |
542
40.5 IPS |
|
|
Face Detection (F32)
|
100% |
1768
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (I8)
|
87% |
1267
15.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1658
12.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1767
13.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
1204
9.34 IPS |
|
|
Style Transfer (F32)
|
100% |
2379
3.13 IPS |
|
|
Style Transfer (F16)
|
100% |
2401
3.16 IPS |
|
|
Style Transfer (I8)
|
98% |
2942
3.87 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
936
33.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1068
38.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
784
28.0 IPS |
|
|
Text Classification (F32)
|
100% |
686
986.4 IPS |
|
|
Text Classification (F16)
|
100% |
690
991.5 IPS |
|
|
Text Classification (I8)
|
92% |
388
557.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1670
30.7 IPS |
|
|
Machine Translation (I8)
|
62% |
518
9.54 IPS |
