iPhone 13 mini
Geekbench ML Score
965
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1.1 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| 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 | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
801
85.8 IPS |
|
|
Image Classification (F16)
|
100% |
767
82.2 IPS |
|
|
Image Classification (I8)
|
81% |
452
48.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1139
7.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
6.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
1449
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
421
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
415
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
485
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1071
37.6 IPS |
|
|
Object Detection (F16)
|
100% |
1082
38.0 IPS |
|
|
Object Detection (I8)
|
52% |
773
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1338
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1308
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.78 IPS |
|
|
Text Classification (F32)
|
100% |
1816
718.3 IPS |
|
|
Text Classification (F16)
|
100% |
1277
505.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1971
303.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1975
304.3 IPS |
