iPhone 13
Geekbench ML Score
706
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 03:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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% |
426
45.7 IPS |
|
|
Image Classification (F16)
|
100% |
425
45.5 IPS |
|
|
Image Classification (I8)
|
81% |
856
91.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
3.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
580
3.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
1468
9.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
333
1.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
386
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
706
24.8 IPS |
|
|
Object Detection (F16)
|
100% |
712
25.0 IPS |
|
|
Object Detection (I8)
|
52% |
1125
39.5 IPS |
|
|
Face Detection (F32)
|
100% |
855
9.82 IPS |
|
|
Face Detection (F16)
|
100% |
884
10.2 IPS |
|
|
Face Detection (I8)
|
75% |
1173
13.5 IPS |
|
|
Text Classification (F32)
|
100% |
1111
439.5 IPS |
|
|
Text Classification (F16)
|
100% |
1093
432.3 IPS |
|
|
Machine Translation (F32)
|
100% |
947
145.9 IPS |
|
|
Machine Translation (F16)
|
100% |
950
146.3 IPS |
