To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench ML Score
1281
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | March 24 2025 08:56 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock X99E-ITX/ac |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 32.0 KB x 14 |
| L2 Cache | 256 KB x 14 |
| L3 Cache | 35.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 125.71 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1273
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
1289
241.2 IPS |
|
|
Image Classification (I8)
|
99% |
609
114.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1668
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1668
27.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
621
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1711
2.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
1720
2.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
2298
2.78 IPS |
|
|
Object Detection (F32)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (I8)
|
65% |
711
53.1 IPS |
|
|
Face Detection (F32)
|
100% |
1965
23.4 IPS |
|
|
Face Detection (F16)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (I8)
|
87% |
1464
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1625
12.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1625
12.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
1520
11.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1879
2.47 IPS |
|
|
Style Transfer (F16)
|
100% |
1863
2.45 IPS |
|
|
Style Transfer (I8)
|
98% |
3408
4.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1350
48.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1256
44.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
999
35.7 IPS |
|
|
Text Classification (F32)
|
100% |
920
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
922
1.33 KIPS |
|
|
Text Classification (I8)
|
92% |
294
421.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1587
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (I8)
|
62% |
393
7.23 IPS |
