iPhone 13 Pro Max
Geekbench ML Score
649
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2023 11:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
768
82.3 IPS |
|
|
Image Classification (F16)
|
100% |
753
80.6 IPS |
|
|
Image Classification (I8)
|
81% |
292
31.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
5.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
972
6.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
1307
8.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
286
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
376
1.52 IPS |
|
|
Object Detection (F32)
|
100% |
981
34.4 IPS |
|
|
Object Detection (F16)
|
100% |
700
24.6 IPS |
|
|
Object Detection (I8)
|
52% |
454
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
727
8.36 IPS |
|
|
Face Detection (F16)
|
100% |
828
9.51 IPS |
|
|
Face Detection (I8)
|
75% |
449
5.16 IPS |
|
|
Text Classification (F32)
|
100% |
714
282.6 IPS |
|
|
Text Classification (F16)
|
100% |
390
154.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1775
273.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1142
176.0 IPS |
