iPhone 12
Geekbench ML Score
2503
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 30 2023 02:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5997
642.5 IPS |
|
|
Image Classification (F16)
|
100% |
6078
651.2 IPS |
|
|
Image Classification (I8)
|
81% |
614
65.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1975
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2009
12.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1065
6.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
18591
75.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
18474
74.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
207
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
6448
226.3 IPS |
|
|
Object Detection (F16)
|
100% |
6613
232.1 IPS |
|
|
Object Detection (I8)
|
52% |
853
29.9 IPS |
|
|
Face Detection (F32)
|
100% |
7573
87.0 IPS |
|
|
Face Detection (F16)
|
100% |
7430
85.4 IPS |
|
|
Face Detection (I8)
|
75% |
829
9.52 IPS |
|
|
Text Classification (F32)
|
100% |
1092
432.1 IPS |
|
|
Text Classification (F16)
|
100% |
1092
432.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1658
255.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
255.3 IPS |
