iPhone XS Max
Geekbench ML Score
575
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2024 12:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
463
49.7 IPS |
|
|
Image Classification (F16)
|
100% |
434
46.5 IPS |
|
|
Image Classification (I8)
|
81% |
304
32.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
694
4.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
707
4.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
961
5.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
218
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
219
0.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
277
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
700
24.5 IPS |
|
|
Object Detection (F16)
|
100% |
697
24.5 IPS |
|
|
Object Detection (I8)
|
52% |
541
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
839
9.64 IPS |
|
|
Face Detection (F16)
|
100% |
824
9.47 IPS |
|
|
Face Detection (I8)
|
75% |
638
7.33 IPS |
|
|
Text Classification (F32)
|
100% |
787
311.3 IPS |
|
|
Text Classification (F16)
|
100% |
788
311.5 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.4 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.4 IPS |
