iPhone 13 Pro Max
Geekbench ML Score
935
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 15 2022 01:08 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.3 |
| 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% |
766
82.1 IPS |
|
|
Image Classification (F16)
|
100% |
754
80.8 IPS |
|
|
Image Classification (I8)
|
81% |
458
49.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1123
6.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1076
6.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1441
8.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
417
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
414
1.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
491
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
1058
37.1 IPS |
|
|
Object Detection (F16)
|
100% |
1063
37.3 IPS |
|
|
Object Detection (I8)
|
52% |
749
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1321
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1280
14.7 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.83 IPS |
|
|
Text Classification (F32)
|
100% |
1203
475.6 IPS |
|
|
Text Classification (F16)
|
100% |
1263
499.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1984
305.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1969
303.5 IPS |
