iPhone XS Max
Geekbench ML Score
571
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.1 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
471
50.5 IPS |
|
|
Image Classification (F16)
|
100% |
461
49.4 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
771
4.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
766
4.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
977
6.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
171
0.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
250
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
679
23.8 IPS |
|
|
Object Detection (F16)
|
100% |
676
23.7 IPS |
|
|
Object Detection (I8)
|
52% |
537
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
828
9.51 IPS |
|
|
Face Detection (F16)
|
100% |
832
9.55 IPS |
|
|
Face Detection (I8)
|
75% |
625
7.18 IPS |
|
|
Text Classification (F32)
|
100% |
772
305.3 IPS |
|
|
Text Classification (F16)
|
100% |
791
312.7 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.6 IPS |
