iPhone XS
Geekbench ML Score
495
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 10:15 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
458
49.0 IPS |
|
|
Image Classification (F16)
|
100% |
455
48.8 IPS |
|
|
Image Classification (I8)
|
81% |
235
25.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
708
4.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
3.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
895
5.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
178
0.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
187
0.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
260
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
645
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
657
23.1 IPS |
|
|
Object Detection (I8)
|
52% |
368
12.9 IPS |
|
|
Face Detection (F32)
|
100% |
744
8.55 IPS |
|
|
Face Detection (F16)
|
100% |
709
8.14 IPS |
|
|
Face Detection (I8)
|
75% |
460
5.29 IPS |
|
|
Text Classification (F32)
|
100% |
514
203.2 IPS |
|
|
Text Classification (F16)
|
100% |
512
202.7 IPS |
|
|
Machine Translation (F32)
|
100% |
992
152.9 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.0 IPS |
