iPhone 12 Pro Max
Geekbench ML Score
2443
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 11 2025 05:19 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5158
552.7 IPS |
|
|
Image Classification (F16)
|
100% |
5133
549.9 IPS |
|
|
Image Classification (I8)
|
81% |
643
68.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1873
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1881
11.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1174
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
19090
77.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19100
77.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
6652
233.4 IPS |
|
|
Object Detection (F16)
|
100% |
6605
231.8 IPS |
|
|
Object Detection (I8)
|
52% |
921
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
6367
73.1 IPS |
|
|
Face Detection (F16)
|
100% |
6381
73.3 IPS |
|
|
Face Detection (I8)
|
75% |
900
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
970
383.5 IPS |
|
|
Text Classification (F16)
|
100% |
968
382.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1716
264.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1713
263.9 IPS |
