iPhone X
Geekbench ML Score
318
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 01:15 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
364
39.0 IPS |
|
|
Image Classification (F16)
|
100% |
351
37.6 IPS |
|
|
Image Classification (I8)
|
81% |
410
43.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
1.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
301
1.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
704
4.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
147
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
298
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
340
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
524
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
425
4.88 IPS |
|
|
Face Detection (F16)
|
100% |
425
4.88 IPS |
|
|
Face Detection (I8)
|
75% |
558
6.41 IPS |
|
|
Text Classification (F32)
|
100% |
283
111.9 IPS |
|
|
Text Classification (F16)
|
100% |
371
146.9 IPS |
|
|
Machine Translation (F32)
|
100% |
485
74.7 IPS |
|
|
Machine Translation (F16)
|
100% |
485
74.7 IPS |
