iPhone 12 Mini
Geekbench ML Score
1614
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 29 2025 05:03 AM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1648
176.5 IPS |
|
|
Image Classification (F16)
|
100% |
1805
193.4 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3973
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
6447
39.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1174
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
1412
5.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
4654
18.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
1590
55.8 IPS |
|
|
Object Detection (F16)
|
99% |
1703
59.8 IPS |
|
|
Object Detection (I8)
|
52% |
918
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
3897
44.8 IPS |
|
|
Face Detection (F16)
|
97% |
5358
61.6 IPS |
|
|
Face Detection (I8)
|
75% |
901
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
788
311.5 IPS |
|
|
Text Classification (F16)
|
98% |
1017
402.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1689
260.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
258.5 IPS |
