iPhone 13
Geekbench ML Score
2839
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2022 06:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6260
670.7 IPS |
|
|
Image Classification (F16)
|
100% |
6280
672.9 IPS |
|
|
Image Classification (I8)
|
81% |
698
74.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2153
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2104
13.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1202
7.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
22839
92.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
23892
96.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
7557
265.2 IPS |
|
|
Object Detection (F16)
|
100% |
7568
265.6 IPS |
|
|
Object Detection (I8)
|
52% |
959
33.6 IPS |
|
|
Face Detection (F32)
|
100% |
8698
99.9 IPS |
|
|
Face Detection (F16)
|
100% |
8745
100.5 IPS |
|
|
Face Detection (I8)
|
75% |
878
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1181
467.1 IPS |
|
|
Text Classification (F16)
|
100% |
1187
469.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2053
316.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2046
315.3 IPS |
