N/A
Geekbench ML Score
41
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 17 2024 05:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | N/A |
| Motherboard | 0CN7CM |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU E5-2440 0 @ 2.40GHz |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 15.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 31.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
27
5.05 IPS |
|
|
Image Classification (F16)
|
100% |
27
5.04 IPS |
|
|
Image Classification (I8)
|
97% |
21
3.94 IPS |
|
|
Image Segmentation (F32)
|
100% |
36
0.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
36
0.60 IPS |
|
|
Image Segmentation (I8)
|
98% |
27
0.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
35
0.04 IPS |
|
|
Object Detection (F32)
|
100% |
28
2.08 IPS |
|
|
Object Detection (F16)
|
100% |
28
2.08 IPS |
|
|
Object Detection (I8)
|
68% |
22
1.64 IPS |
|
|
Face Detection (F32)
|
100% |
90
1.07 IPS |
|
|
Face Detection (F16)
|
100% |
89
1.06 IPS |
|
|
Face Detection (I8)
|
87% |
67
0.80 IPS |
|
|
Depth Estimation (F32)
|
100% |
63
0.49 IPS |
|
|
Depth Estimation (F16)
|
100% |
63
0.49 IPS |
|
|
Depth Estimation (I8)
|
95% |
49
0.38 IPS |
|
|
Style Transfer (F32)
|
100% |
127
0.17 IPS |
|
|
Style Transfer (F16)
|
100% |
126
0.17 IPS |
|
|
Style Transfer (I8)
|
98% |
106
0.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30
1.06 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30
1.06 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
23
0.83 IPS |
|
|
Text Classification (F32)
|
100% |
30
42.9 IPS |
|
|
Text Classification (F16)
|
100% |
30
43.0 IPS |
|
|
Text Classification (I8)
|
92% |
21
30.5 IPS |
|
|
Machine Translation (F32)
|
100% |
58
1.07 IPS |
|
|
Machine Translation (F16)
|
100% |
57
1.06 IPS |
|
|
Machine Translation (I8)
|
62% |
37
0.69 IPS |
