iPhone 8
Geekbench ML Score
448
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 15 2025 11:28 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
371
39.8 IPS |
|
|
Image Classification (F16)
|
100% |
353
37.8 IPS |
|
|
Image Classification (I8)
|
81% |
284
30.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
577
3.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
586
3.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
833
5.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
188
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
186
0.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
532
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
531
18.6 IPS |
|
|
Object Detection (I8)
|
52% |
510
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
657
7.55 IPS |
|
|
Face Detection (F16)
|
100% |
616
7.08 IPS |
|
|
Face Detection (I8)
|
75% |
570
6.55 IPS |
|
|
Text Classification (F32)
|
100% |
434
171.7 IPS |
|
|
Text Classification (F16)
|
100% |
579
229.0 IPS |
|
|
Machine Translation (F32)
|
100% |
607
93.6 IPS |
|
|
Machine Translation (F16)
|
100% |
688
106.0 IPS |
