iPhone 13 Pro Max
Geekbench ML Score
937
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 01:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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% |
786
84.2 IPS |
|
|
Image Classification (F16)
|
100% |
767
82.1 IPS |
|
|
Image Classification (I8)
|
81% |
453
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1145
7.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
6.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
1463
9.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
444
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
439
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
510
2.06 IPS |
|
|
Object Detection (F32)
|
100% |
1128
39.6 IPS |
|
|
Object Detection (F16)
|
100% |
1136
39.9 IPS |
|
|
Object Detection (I8)
|
52% |
760
26.7 IPS |
|
|
Face Detection (F32)
|
100% |
1363
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1343
15.4 IPS |
|
|
Face Detection (I8)
|
75% |
859
9.87 IPS |
|
|
Text Classification (F32)
|
100% |
974
385.0 IPS |
|
|
Text Classification (F16)
|
100% |
995
393.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1962
302.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1961
302.2 IPS |
