iPhone XS
Geekbench ML Score
568
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 07:03 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
480
51.4 IPS |
|
|
Image Classification (F16)
|
100% |
479
51.3 IPS |
|
|
Image Classification (I8)
|
81% |
275
29.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
769
4.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
4.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
978
6.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
191
0.77 IPS |
|
|
Object Detection (F32)
|
100% |
677
23.8 IPS |
|
|
Object Detection (F16)
|
100% |
673
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
542
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
760
8.74 IPS |
|
|
Face Detection (F16)
|
100% |
755
8.67 IPS |
|
|
Face Detection (I8)
|
75% |
607
6.98 IPS |
|
|
Text Classification (F32)
|
100% |
781
308.8 IPS |
|
|
Text Classification (F16)
|
100% |
788
311.9 IPS |
|
|
Machine Translation (F32)
|
100% |
992
152.9 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.8 IPS |
