Vultr VCG
Geekbench ML Score
155
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | June 11 2024 07:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Vultr VCG |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Xeon Processor (Cascadelake) |
| Topology | 1 Processor, 1 Core |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 6 |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 11.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
99
18.5 IPS |
|
|
Image Classification (F16)
|
100% |
100
18.7 IPS |
|
|
Image Classification (I8)
|
99% |
63
11.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
125
2.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
130
2.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
80
1.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
148
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
152
0.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
142
0.17 IPS |
|
|
Object Detection (F32)
|
100% |
120
8.95 IPS |
|
|
Object Detection (F16)
|
100% |
119
8.89 IPS |
|
|
Object Detection (I8)
|
65% |
75
5.58 IPS |
|
|
Face Detection (F32)
|
100% |
208
2.48 IPS |
|
|
Face Detection (F16)
|
100% |
222
2.64 IPS |
|
|
Face Detection (I8)
|
87% |
159
1.89 IPS |
|
|
Depth Estimation (F32)
|
100% |
213
1.65 IPS |
|
|
Depth Estimation (F16)
|
100% |
203
1.58 IPS |
|
|
Depth Estimation (I8)
|
95% |
175
1.36 IPS |
|
|
Style Transfer (F32)
|
100% |
283
0.37 IPS |
|
|
Style Transfer (F16)
|
100% |
277
0.36 IPS |
|
|
Style Transfer (I8)
|
98% |
309
0.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
142
5.06 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
145
5.17 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
108
3.85 IPS |
|
|
Text Classification (F32)
|
100% |
309
444.3 IPS |
|
|
Text Classification (F16)
|
100% |
324
465.5 IPS |
|
|
Text Classification (I8)
|
92% |
142
204.6 IPS |
|
|
Machine Translation (F32)
|
100% |
194
3.56 IPS |
|
|
Machine Translation (F16)
|
100% |
200
3.69 IPS |
|
|
Machine Translation (I8)
|
62% |
125
2.30 IPS |
