iPhone 13
Geekbench ML Score
903
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 08 2023 09:42 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
760
81.4 IPS |
|
|
Image Classification (F16)
|
100% |
710
76.1 IPS |
|
|
Image Classification (I8)
|
81% |
456
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1057
6.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
991
6.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1443
8.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
391
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
379
1.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
448
1.81 IPS |
|
|
Object Detection (F32)
|
100% |
978
34.3 IPS |
|
|
Object Detection (F16)
|
100% |
971
34.1 IPS |
|
|
Object Detection (I8)
|
52% |
731
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1203
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1191
13.7 IPS |
|
|
Face Detection (I8)
|
75% |
837
9.61 IPS |
|
|
Text Classification (F32)
|
100% |
1315
520.0 IPS |
|
|
Text Classification (F16)
|
100% |
1269
501.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2054
316.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2059
317.4 IPS |
