iPhone 8
Geekbench ML Score
256
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 07:58 PM |
| Views | 7 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
225
42.2 IPS |
|
|
Image Classification (F16)
|
100% |
200
37.3 IPS |
|
|
Image Classification (I8)
|
99% |
194
36.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
178
2.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
159
2.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
875
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
666
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
385
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
89
6.66 IPS |
|
|
Object Detection (F16)
|
100% |
114
8.53 IPS |
|
|
Object Detection (I8)
|
97% |
126
9.37 IPS |
|
|
Face Detection (F32)
|
100% |
260
3.09 IPS |
|
|
Face Detection (F16)
|
100% |
254
3.02 IPS |
|
|
Face Detection (I8)
|
99% |
260
3.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
334
2.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
278
2.16 IPS |
|
|
Depth Estimation (I8)
|
99% |
277
2.15 IPS |
|
|
Style Transfer (F32)
|
100% |
661
0.87 IPS |
|
|
Style Transfer (F16)
|
100% |
607
0.80 IPS |
|
|
Style Transfer (I8)
|
100% |
895
1.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
277
9.89 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
316
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
314
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
153
220.2 IPS |
|
|
Text Classification (F16)
|
100% |
153
219.5 IPS |
|
|
Text Classification (I8)
|
96% |
153
220.3 IPS |
|
|
Machine Translation (F32)
|
100% |
255
4.70 IPS |
|
|
Machine Translation (F16)
|
100% |
193
3.55 IPS |
|
|
Machine Translation (I8)
|
99% |
207
3.82 IPS |
