iPhone 8 Plus
Geekbench ML Score
277
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 28 2025 01:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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% |
144
27.0 IPS |
|
|
Image Classification (F16)
|
100% |
140
26.1 IPS |
|
|
Image Classification (I8)
|
99% |
139
26.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
142
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
535
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
533
0.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
535
0.65 IPS |
|
|
Object Detection (F32)
|
100% |
160
11.9 IPS |
|
|
Object Detection (F16)
|
100% |
152
11.4 IPS |
|
|
Object Detection (I8)
|
97% |
160
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
361
4.29 IPS |
|
|
Face Detection (F16)
|
100% |
355
4.22 IPS |
|
|
Face Detection (I8)
|
99% |
356
4.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
387
3.00 IPS |
|
|
Depth Estimation (F16)
|
100% |
376
2.92 IPS |
|
|
Depth Estimation (I8)
|
99% |
368
2.86 IPS |
|
|
Style Transfer (F32)
|
100% |
949
1.25 IPS |
|
|
Style Transfer (F16)
|
100% |
945
1.24 IPS |
|
|
Style Transfer (I8)
|
100% |
943
1.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
372
13.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
372
13.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
370
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
141
203.1 IPS |
|
|
Text Classification (F16)
|
100% |
147
211.7 IPS |
|
|
Text Classification (I8)
|
96% |
147
210.8 IPS |
|
|
Machine Translation (F32)
|
100% |
254
4.68 IPS |
|
|
Machine Translation (F16)
|
100% |
199
3.65 IPS |
|
|
Machine Translation (I8)
|
99% |
254
4.68 IPS |
