Vultr VCG
Geekbench ML Score
1526
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | June 11 2024 07:29 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, 12 Cores, 24 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 | 251.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1157
216.5 IPS |
|
|
Image Classification (F16)
|
100% |
1065
199.4 IPS |
|
|
Image Classification (I8)
|
99% |
738
138.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1848
30.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1861
31.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
738
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2083
2.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
2090
2.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
2272
2.75 IPS |
|
|
Object Detection (F32)
|
100% |
1214
90.6 IPS |
|
|
Object Detection (F16)
|
100% |
1327
99.0 IPS |
|
|
Object Detection (I8)
|
65% |
875
65.3 IPS |
|
|
Face Detection (F32)
|
100% |
2394
28.5 IPS |
|
|
Face Detection (F16)
|
100% |
2393
28.5 IPS |
|
|
Face Detection (I8)
|
87% |
1791
21.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2042
15.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2029
15.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
1739
13.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2644
3.48 IPS |
|
|
Style Transfer (F16)
|
100% |
2401
3.16 IPS |
|
|
Style Transfer (I8)
|
98% |
4310
5.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1669
59.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1636
58.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1273
45.5 IPS |
|
|
Text Classification (F32)
|
100% |
1143
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1060
1.52 KIPS |
|
|
Text Classification (I8)
|
92% |
467
671.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2134
39.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1898
34.9 IPS |
|
|
Machine Translation (I8)
|
62% |
622
11.4 IPS |
