iPhone 13 Pro Max
Geekbench ML Score
2215
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 18 2025 03:24 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1.1 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3009
322.4 IPS |
|
|
Image Classification (F16)
|
100% |
4572
489.9 IPS |
|
|
Image Classification (I8)
|
81% |
607
65.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5839
36.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8101
50.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
984
6.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
1881
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
4799
19.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
203
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
3237
113.6 IPS |
|
|
Object Detection (F16)
|
100% |
3355
117.8 IPS |
|
|
Object Detection (I8)
|
52% |
819
28.8 IPS |
|
|
Face Detection (F32)
|
100% |
5059
58.1 IPS |
|
|
Face Detection (F16)
|
97% |
9228
106.0 IPS |
|
|
Face Detection (I8)
|
75% |
785
9.02 IPS |
|
|
Text Classification (F32)
|
100% |
1843
729.0 IPS |
|
|
Text Classification (F16)
|
100% |
2216
876.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1972
303.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1964
302.7 IPS |
