iPhone 8
Geekbench ML Score
291
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 07:32 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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 |
| 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% |
166
31.1 IPS |
|
|
Image Classification (F16)
|
100% |
117
21.9 IPS |
|
|
Image Classification (I8)
|
99% |
117
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
122
2.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
744
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
671
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
592
0.72 IPS |
|
|
Object Detection (F32)
|
100% |
124
9.27 IPS |
|
|
Object Detection (F16)
|
100% |
128
9.54 IPS |
|
|
Object Detection (I8)
|
97% |
143
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
282
3.36 IPS |
|
|
Face Detection (F16)
|
100% |
329
3.91 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
462
3.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
401
3.11 IPS |
|
|
Depth Estimation (I8)
|
99% |
430
3.34 IPS |
|
|
Style Transfer (F32)
|
100% |
1067
1.40 IPS |
|
|
Style Transfer (F16)
|
100% |
1046
1.38 IPS |
|
|
Style Transfer (I8)
|
100% |
979
1.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
307
11.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
417
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
434
15.5 IPS |
|
|
Text Classification (F32)
|
100% |
202
290.3 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.5 IPS |
|
|
Text Classification (I8)
|
96% |
211
302.9 IPS |
|
|
Machine Translation (F32)
|
100% |
297
5.47 IPS |
|
|
Machine Translation (F16)
|
100% |
226
4.16 IPS |
|
|
Machine Translation (I8)
|
99% |
267
4.91 IPS |
