iPhone 13 Pro Max
Geekbench ML Score
954
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
790
84.6 IPS |
|
|
Image Classification (F16)
|
100% |
756
81.0 IPS |
|
|
Image Classification (I8)
|
81% |
457
49.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1127
6.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
1115
6.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
1449
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
429
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
422
1.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
492
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
1103
38.7 IPS |
|
|
Object Detection (F16)
|
100% |
1101
38.7 IPS |
|
|
Object Detection (I8)
|
52% |
745
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1345
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1327
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
1322
522.9 IPS |
|
|
Text Classification (F16)
|
100% |
1345
531.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1964
302.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1967
303.1 IPS |
