iPhone X
Geekbench ML Score
806
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone X |
| Model ID | iPhone10,6 |
| Motherboard | D221AP |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
647
69.4 IPS |
|
|
Image Classification (F16)
|
100% |
802
86.0 IPS |
|
|
Image Classification (I8)
|
81% |
292
31.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1918
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3520
21.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
502
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
632
2.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
2211
8.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
97
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
1205
42.3 IPS |
|
|
Object Detection (F16)
|
99% |
1307
45.9 IPS |
|
|
Object Detection (I8)
|
52% |
397
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
1945
22.3 IPS |
|
|
Face Detection (F16)
|
97% |
3919
45.0 IPS |
|
|
Face Detection (I8)
|
75% |
387
4.45 IPS |
|
|
Text Classification (F32)
|
100% |
487
192.6 IPS |
|
|
Text Classification (F16)
|
98% |
706
279.2 IPS |
|
|
Machine Translation (F32)
|
100% |
618
95.3 IPS |
|
|
Machine Translation (F16)
|
100% |
621
95.7 IPS |
