iPhone 8
Geekbench ML Score
404
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 12 2025 10:09 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8.1 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
382
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
379
40.6 IPS |
|
|
Image Classification (I8)
|
81% |
292
31.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
639
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
629
3.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
863
5.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
73
0.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
342
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
341
12.0 IPS |
|
|
Object Detection (I8)
|
52% |
493
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
552
6.34 IPS |
|
|
Face Detection (F16)
|
100% |
560
6.43 IPS |
|
|
Face Detection (I8)
|
75% |
599
6.88 IPS |
|
|
Text Classification (F32)
|
100% |
612
241.9 IPS |
|
|
Text Classification (F16)
|
100% |
684
270.6 IPS |
|
|
Machine Translation (F32)
|
100% |
734
113.2 IPS |
|
|
Machine Translation (F16)
|
100% |
749
115.4 IPS |
