iPhone 8
Geekbench ML Score
398
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 27 2025 03:50 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
241
45.0 IPS |
|
|
Image Classification (F16)
|
100% |
221
41.3 IPS |
|
|
Image Classification (I8)
|
99% |
217
40.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
951
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
940
1.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
931
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
220
16.4 IPS |
|
|
Object Detection (I8)
|
97% |
242
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
448
5.33 IPS |
|
|
Face Detection (F16)
|
100% |
438
5.21 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
577
4.47 IPS |
|
|
Depth Estimation (F16)
|
100% |
526
4.08 IPS |
|
|
Depth Estimation (I8)
|
99% |
522
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1466
1.93 IPS |
|
|
Style Transfer (F16)
|
100% |
1918
2.52 IPS |
|
|
Style Transfer (I8)
|
100% |
1794
2.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
553
19.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
553
19.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
547
19.5 IPS |
|
|
Text Classification (F32)
|
100% |
238
341.9 IPS |
|
|
Text Classification (F16)
|
100% |
215
309.3 IPS |
|
|
Text Classification (I8)
|
96% |
225
323.2 IPS |
|
|
Machine Translation (F32)
|
100% |
280
5.16 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.76 IPS |
|
|
Machine Translation (I8)
|
99% |
146
2.69 IPS |
