iPhone 12 Mini
Geekbench ML Score
1171
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 29 2025 04:57 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| 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 | 3.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2524
270.5 IPS |
|
|
Image Classification (F16)
|
100% |
2545
272.7 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
845
5.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
5.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
506
3.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
9460
38.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
9435
38.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
96
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
3224
113.1 IPS |
|
|
Object Detection (F16)
|
100% |
3188
111.9 IPS |
|
|
Object Detection (I8)
|
52% |
391
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
3733
42.9 IPS |
|
|
Face Detection (F16)
|
100% |
3724
42.8 IPS |
|
|
Face Detection (I8)
|
75% |
387
4.44 IPS |
|
|
Text Classification (F32)
|
100% |
514
203.2 IPS |
|
|
Text Classification (F16)
|
100% |
514
203.2 IPS |
|
|
Machine Translation (F32)
|
100% |
799
123.2 IPS |
|
|
Machine Translation (F16)
|
100% |
809
124.7 IPS |
