iPhone 8 Plus
Geekbench ML Score
627
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:50 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
153
28.6 IPS |
|
|
Image Classification (I8)
|
99% |
153
28.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2255
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2592
3.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
2701
3.27 IPS |
|
|
Object Detection (F32)
|
100% |
262
19.6 IPS |
|
|
Object Detection (F16)
|
100% |
266
19.8 IPS |
|
|
Object Detection (I8)
|
97% |
309
23.1 IPS |
|
|
Face Detection (F32)
|
100% |
976
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
968
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
947
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2361
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2390
18.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2839
22.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4369
5.75 IPS |
|
|
Style Transfer (F16)
|
100% |
4784
6.29 IPS |
|
|
Style Transfer (I8)
|
100% |
4840
6.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
998
35.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1065
38.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1181
42.2 IPS |
|
|
Text Classification (F32)
|
100% |
49
71.0 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.1 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.8 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.75 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (I8)
|
99% |
305
5.62 IPS |
