iPhone XS Max
Geekbench ML Score
1445
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 06:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4111
440.4 IPS |
|
|
Image Classification (F16)
|
100% |
4126
442.1 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1393
8.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
1390
8.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
7225
29.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
7601
30.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4190
147.0 IPS |
|
|
Object Detection (F16)
|
94% |
4238
148.7 IPS |
|
|
Object Detection (I8)
|
52% |
568
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
4007
46.0 IPS |
|
|
Face Detection (F16)
|
67% |
3985
45.8 IPS |
|
|
Face Detection (I8)
|
75% |
552
6.34 IPS |
|
|
Text Classification (F32)
|
100% |
401
158.4 IPS |
|
|
Text Classification (F16)
|
100% |
405
160.2 IPS |
|
|
Machine Translation (F32)
|
100% |
992
153.0 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.5 IPS |
