iPhone 8
Geekbench ML Score
266
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 29 2025 01:27 PM |
| Views | 6 |
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% |
155
29.0 IPS |
|
|
Image Classification (F16)
|
100% |
116
21.8 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
125
2.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
126
2.10 IPS |
|
|
Image Segmentation (I8)
|
100% |
127
2.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
820
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
603
0.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
577
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
131
9.81 IPS |
|
|
Object Detection (F16)
|
100% |
158
11.8 IPS |
|
|
Object Detection (I8)
|
97% |
170
12.7 IPS |
|
|
Face Detection (F32)
|
100% |
334
3.97 IPS |
|
|
Face Detection (F16)
|
100% |
327
3.89 IPS |
|
|
Face Detection (I8)
|
99% |
317
3.77 IPS |
|
|
Depth Estimation (F32)
|
100% |
412
3.19 IPS |
|
|
Depth Estimation (F16)
|
100% |
396
3.07 IPS |
|
|
Depth Estimation (I8)
|
99% |
319
2.47 IPS |
|
|
Style Transfer (F32)
|
100% |
833
1.10 IPS |
|
|
Style Transfer (F16)
|
100% |
653
0.86 IPS |
|
|
Style Transfer (I8)
|
100% |
749
0.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
280
9.99 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
298
10.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
410
14.7 IPS |
|
|
Text Classification (F32)
|
100% |
146
209.4 IPS |
|
|
Text Classification (F16)
|
100% |
153
220.2 IPS |
|
|
Text Classification (I8)
|
96% |
196
281.4 IPS |
|
|
Machine Translation (F32)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (F16)
|
100% |
178
3.27 IPS |
|
|
Machine Translation (I8)
|
99% |
233
4.28 IPS |
