iPhone 13 Pro Max
Geekbench ML Score
947
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2025 11:06 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
790
84.7 IPS |
|
|
Image Classification (F16)
|
100% |
789
84.5 IPS |
|
|
Image Classification (I8)
|
81% |
452
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1195
7.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
1156
7.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
1461
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
449
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
442
1.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
508
2.06 IPS |
|
|
Object Detection (F32)
|
100% |
1114
39.1 IPS |
|
|
Object Detection (F16)
|
100% |
1126
39.5 IPS |
|
|
Object Detection (I8)
|
52% |
763
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1365
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1334
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
|
Text Classification (F32)
|
100% |
1073
424.3 IPS |
|
|
Text Classification (F16)
|
100% |
1038
410.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1953
301.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1949
300.4 IPS |
