iPhone 13 Pro Max
Geekbench ML Score
925
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 08:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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% |
770
82.6 IPS |
|
|
Image Classification (F16)
|
100% |
753
80.7 IPS |
|
|
Image Classification (I8)
|
81% |
446
47.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1117
6.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1084
6.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
1460
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
427
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
420
1.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
490
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
1095
38.4 IPS |
|
|
Object Detection (F16)
|
100% |
1101
38.6 IPS |
|
|
Object Detection (I8)
|
52% |
732
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1321
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1316
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
985
389.7 IPS |
|
|
Text Classification (F16)
|
100% |
1056
417.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2050
316.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2050
316.0 IPS |
