iPhone 8 Plus
Geekbench ML Score
311
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 11:40 AM |
| Views | 7 |
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
43.5 IPS |
|
|
Image Classification (F16)
|
100% |
191
35.7 IPS |
|
|
Image Classification (I8)
|
99% |
183
34.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
157
2.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
157
2.63 IPS |
|
|
Image Segmentation (I8)
|
100% |
148
2.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
878
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
663
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
141
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
142
10.6 IPS |
|
|
Object Detection (I8)
|
97% |
187
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
359
4.26 IPS |
|
|
Face Detection (F16)
|
100% |
353
4.20 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
460
3.57 IPS |
|
|
Depth Estimation (F16)
|
100% |
426
3.31 IPS |
|
|
Depth Estimation (I8)
|
99% |
426
3.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1127
1.48 IPS |
|
|
Style Transfer (F16)
|
100% |
1040
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
1032
1.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
317
11.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
417
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
417
14.9 IPS |
|
|
Text Classification (F32)
|
100% |
152
219.0 IPS |
|
|
Text Classification (F16)
|
100% |
151
216.9 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
253
4.66 IPS |
|
|
Machine Translation (F16)
|
100% |
198
3.65 IPS |
|
|
Machine Translation (I8)
|
99% |
263
4.83 IPS |
