iPhone 13
Geekbench ML Score
916
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 05:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
775
83.1 IPS |
|
|
Image Classification (F16)
|
100% |
746
79.9 IPS |
|
|
Image Classification (I8)
|
81% |
458
49.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1095
6.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
1057
6.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
1456
8.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
412
1.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
404
1.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
472
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
1028
36.1 IPS |
|
|
Object Detection (F16)
|
100% |
1037
36.4 IPS |
|
|
Object Detection (I8)
|
52% |
789
27.7 IPS |
|
|
Face Detection (F32)
|
100% |
1293
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1256
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
1017
402.3 IPS |
|
|
Text Classification (F16)
|
100% |
1098
434.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2056
316.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2048
315.7 IPS |
