iPhone 13
Geekbench ML Score
971
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 10:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
792
84.9 IPS |
|
|
Image Classification (F16)
|
100% |
754
80.8 IPS |
|
|
Image Classification (I8)
|
81% |
462
49.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1112
6.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
1073
6.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
1447
8.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
417
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
478
1.93 IPS |
|
|
Object Detection (F32)
|
100% |
1054
37.0 IPS |
|
|
Object Detection (F16)
|
100% |
1070
37.5 IPS |
|
|
Object Detection (I8)
|
52% |
759
26.7 IPS |
|
|
Face Detection (F32)
|
100% |
1322
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1283
14.7 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
1713
677.5 IPS |
|
|
Text Classification (F16)
|
100% |
1844
729.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1963
302.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1965
302.9 IPS |
