iPhone 8
Geekbench ML Score
249
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 01:10 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
231
43.1 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.1 IPS |
|
|
Image Classification (I8)
|
99% |
135
25.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
134
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
136
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
697
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
641
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
510
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
122
9.08 IPS |
|
|
Object Detection (F16)
|
100% |
114
8.51 IPS |
|
|
Object Detection (I8)
|
97% |
143
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
282
3.35 IPS |
|
|
Face Detection (F16)
|
100% |
279
3.32 IPS |
|
|
Face Detection (I8)
|
99% |
331
3.94 IPS |
|
|
Depth Estimation (F32)
|
100% |
459
3.56 IPS |
|
|
Depth Estimation (F16)
|
100% |
314
2.44 IPS |
|
|
Depth Estimation (I8)
|
99% |
317
2.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1021
1.34 IPS |
|
|
Style Transfer (F16)
|
100% |
902
1.19 IPS |
|
|
Style Transfer (I8)
|
100% |
723
0.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
276
9.87 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
315
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
100
144.2 IPS |
|
|
Text Classification (F16)
|
100% |
151
216.3 IPS |
|
|
Text Classification (I8)
|
96% |
152
218.3 IPS |
|
|
Machine Translation (F32)
|
100% |
193
3.56 IPS |
|
|
Machine Translation (F16)
|
100% |
132
2.42 IPS |
|
|
Machine Translation (I8)
|
99% |
116
2.14 IPS |
