iPhone 13 mini
Geekbench ML Score
907
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 17 2025 01:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6.1 |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
751
80.5 IPS |
|
|
Image Classification (F16)
|
100% |
697
74.7 IPS |
|
|
Image Classification (I8)
|
81% |
454
48.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1038
6.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
983
6.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
1429
8.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
384
1.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
457
1.85 IPS |
|
|
Object Detection (F32)
|
100% |
986
34.6 IPS |
|
|
Object Detection (F16)
|
100% |
985
34.6 IPS |
|
|
Object Detection (I8)
|
52% |
757
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1234
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1207
13.9 IPS |
|
|
Face Detection (I8)
|
75% |
843
9.69 IPS |
|
|
Text Classification (F32)
|
100% |
1395
551.8 IPS |
|
|
Text Classification (F16)
|
100% |
1339
529.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1965
302.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1962
302.4 IPS |
