iPhone 8 Plus
Geekbench ML Score
360
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2026 02:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.15 |
| 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% |
209
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
195
36.4 IPS |
|
|
Image Classification (I8)
|
99% |
180
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
165
2.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
173
2.88 IPS |
|
|
Image Segmentation (I8)
|
100% |
174
2.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
747
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
751
0.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
772
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
211
15.8 IPS |
|
|
Object Detection (F16)
|
100% |
205
15.3 IPS |
|
|
Object Detection (I8)
|
97% |
205
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
400
4.75 IPS |
|
|
Face Detection (F16)
|
100% |
409
4.87 IPS |
|
|
Face Detection (I8)
|
99% |
415
4.94 IPS |
|
|
Depth Estimation (F32)
|
100% |
518
4.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
471
3.65 IPS |
|
|
Depth Estimation (I8)
|
99% |
476
3.69 IPS |
|
|
Style Transfer (F32)
|
100% |
1340
1.76 IPS |
|
|
Style Transfer (F16)
|
100% |
1382
1.82 IPS |
|
|
Style Transfer (I8)
|
100% |
1387
1.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
447
15.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
452
16.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
455
16.3 IPS |
|
|
Text Classification (F32)
|
100% |
215
308.3 IPS |
|
|
Text Classification (F16)
|
100% |
209
300.8 IPS |
|
|
Text Classification (I8)
|
96% |
214
307.3 IPS |
|
|
Machine Translation (F32)
|
100% |
296
5.46 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (I8)
|
99% |
290
5.34 IPS |
