iPhone 8 Plus
Geekbench ML Score
234
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 05:34 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
232
43.4 IPS |
|
|
Image Classification (F16)
|
100% |
204
38.2 IPS |
|
|
Image Classification (I8)
|
99% |
192
36.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
169
2.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
96
1.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
225
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
184
0.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
276
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
75
5.61 IPS |
|
|
Object Detection (F16)
|
100% |
102
7.62 IPS |
|
|
Object Detection (I8)
|
97% |
123
9.21 IPS |
|
|
Face Detection (F32)
|
100% |
325
3.86 IPS |
|
|
Face Detection (F16)
|
100% |
349
4.15 IPS |
|
|
Face Detection (I8)
|
99% |
350
4.16 IPS |
|
|
Depth Estimation (F32)
|
100% |
459
3.56 IPS |
|
|
Depth Estimation (F16)
|
100% |
314
2.43 IPS |
|
|
Depth Estimation (I8)
|
99% |
312
2.42 IPS |
|
|
Style Transfer (F32)
|
100% |
950
1.25 IPS |
|
|
Style Transfer (F16)
|
100% |
527
0.69 IPS |
|
|
Style Transfer (I8)
|
100% |
606
0.80 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
270
9.66 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
311
11.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
310
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
151
217.1 IPS |
|
|
Text Classification (F16)
|
100% |
154
221.5 IPS |
|
|
Text Classification (I8)
|
96% |
152
218.3 IPS |
|
|
Machine Translation (F32)
|
100% |
251
4.62 IPS |
|
|
Machine Translation (F16)
|
100% |
196
3.60 IPS |
|
|
Machine Translation (I8)
|
99% |
228
4.19 IPS |
