iPhone 8 Plus
Geekbench ML Score
429
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 06:31 AM |
| 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% |
238
44.5 IPS |
|
|
Image Classification (F16)
|
100% |
221
41.3 IPS |
|
|
Image Classification (I8)
|
99% |
217
40.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
203
3.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
206
3.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
1039
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1017
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
994
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
246
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
239
17.8 IPS |
|
|
Object Detection (I8)
|
97% |
258
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
478
5.68 IPS |
|
|
Face Detection (F16)
|
100% |
474
5.63 IPS |
|
|
Face Detection (I8)
|
99% |
469
5.58 IPS |
|
|
Depth Estimation (F32)
|
100% |
634
4.91 IPS |
|
|
Depth Estimation (F16)
|
100% |
576
4.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
571
4.43 IPS |
|
|
Style Transfer (F32)
|
100% |
1654
2.18 IPS |
|
|
Style Transfer (F16)
|
100% |
1663
2.19 IPS |
|
|
Style Transfer (I8)
|
100% |
1663
2.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
536
19.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
553
19.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
580
20.7 IPS |
|
|
Text Classification (F32)
|
100% |
258
371.2 IPS |
|
|
Text Classification (F16)
|
100% |
218
313.1 IPS |
|
|
Text Classification (I8)
|
96% |
219
315.2 IPS |
|
|
Machine Translation (F32)
|
100% |
331
6.09 IPS |
|
|
Machine Translation (F16)
|
100% |
267
4.92 IPS |
|
|
Machine Translation (I8)
|
99% |
324
5.97 IPS |
