Vultr VCG
Geekbench ML Score
1705
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | June 11 2024 07:42 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 | 2 Processors, 24 Cores, 48 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 24 |
| L1 Data Cache | 32.0 KB x 24 |
| L2 Cache | 4.00 MB x 12 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 487.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1224
229.1 IPS |
|
|
Image Classification (F16)
|
100% |
1307
244.6 IPS |
|
|
Image Classification (I8)
|
99% |
1047
195.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2072
34.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2091
34.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
833
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2687
3.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
2430
2.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
3638
4.41 IPS |
|
|
Object Detection (F32)
|
100% |
1385
103.4 IPS |
|
|
Object Detection (F16)
|
100% |
1391
103.9 IPS |
|
|
Object Detection (I8)
|
65% |
1266
94.5 IPS |
|
|
Face Detection (F32)
|
100% |
2788
33.2 IPS |
|
|
Face Detection (F16)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (I8)
|
87% |
2208
26.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2317
18.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2276
17.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2196
17.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2667
3.51 IPS |
|
|
Style Transfer (F16)
|
100% |
2613
3.44 IPS |
|
|
Style Transfer (I8)
|
98% |
5079
6.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1355
48.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1488
53.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1611
57.5 IPS |
|
|
Text Classification (F32)
|
100% |
953
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
913
1.31 KIPS |
|
|
Text Classification (I8)
|
92% |
473
679.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2098
38.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2119
39.0 IPS |
|
|
Machine Translation (I8)
|
62% |
635
11.7 IPS |
