iPhone 12 Pro Max
Geekbench ML Score
881
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 18 2025 12:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
620
66.4 IPS |
|
|
Image Classification (F16)
|
100% |
592
63.5 IPS |
|
|
Image Classification (I8)
|
81% |
430
46.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
982
6.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
933
5.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1369
8.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
355
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
350
1.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
432
1.75 IPS |
|
|
Object Detection (F32)
|
100% |
900
31.6 IPS |
|
|
Object Detection (F16)
|
100% |
905
31.8 IPS |
|
|
Object Detection (I8)
|
52% |
741
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1060
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1044
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.36 IPS |
|
|
Text Classification (F32)
|
100% |
2340
925.5 IPS |
|
|
Text Classification (F16)
|
100% |
2335
923.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1692
260.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
260.9 IPS |
