iPhone 13 Pro Max
Geekbench ML Score
1090
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 15 2024 02:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
872
93.4 IPS |
|
|
Image Classification (F16)
|
100% |
850
91.0 IPS |
|
|
Image Classification (I8)
|
81% |
459
49.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1242
7.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1208
7.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
1463
9.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
442
1.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
505
2.04 IPS |
|
|
Object Detection (F32)
|
100% |
1193
41.9 IPS |
|
|
Object Detection (F16)
|
100% |
1189
41.7 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1442
16.6 IPS |
|
|
Face Detection (F16)
|
100% |
1438
16.5 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
2956
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2739
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
2095
322.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2141
329.9 IPS |
