iPhone 13 Pro Max
Geekbench ML Score
933
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 01:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
780
83.6 IPS |
|
|
Image Classification (F16)
|
100% |
766
82.1 IPS |
|
|
Image Classification (I8)
|
81% |
464
49.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1138
7.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
6.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
1453
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
436
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
428
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
496
2.01 IPS |
|
|
Object Detection (F32)
|
100% |
1092
38.3 IPS |
|
|
Object Detection (F16)
|
100% |
1095
38.4 IPS |
|
|
Object Detection (I8)
|
52% |
773
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1323
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1307
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
|
Text Classification (F32)
|
100% |
982
388.4 IPS |
|
|
Text Classification (F16)
|
100% |
1043
412.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2033
313.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2044
315.0 IPS |
