iPhone 8
Geekbench ML Score
608
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 07:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
174
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2208
2.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
2562
3.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
2356
2.85 IPS |
|
|
Object Detection (F32)
|
100% |
294
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
278
20.8 IPS |
|
|
Object Detection (I8)
|
97% |
268
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
982
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
974
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
962
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2161
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2358
18.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2580
20.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4612
6.07 IPS |
|
|
Style Transfer (F16)
|
100% |
5015
6.60 IPS |
|
|
Style Transfer (I8)
|
100% |
4993
6.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
920
32.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1001
35.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
937
33.5 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.6 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.0 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.1 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.58 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.29 IPS |
|
|
Machine Translation (I8)
|
99% |
249
4.58 IPS |
