iPhone 8 Plus
Geekbench ML Score
623
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 08:15 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
208
38.8 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.6 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2277
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
2741
3.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2591
3.14 IPS |
|
|
Object Detection (F32)
|
100% |
263
19.6 IPS |
|
|
Object Detection (F16)
|
100% |
251
18.8 IPS |
|
|
Object Detection (I8)
|
97% |
326
24.4 IPS |
|
|
Face Detection (F32)
|
100% |
958
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
937
11.1 IPS |
|
|
Face Detection (I8)
|
99% |
993
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2178
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2398
18.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2316
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4337
5.70 IPS |
|
|
Style Transfer (F16)
|
100% |
4732
6.22 IPS |
|
|
Style Transfer (I8)
|
100% |
4830
6.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1203
43.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1072
38.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1065
38.0 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.9 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.4 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.0 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.76 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (I8)
|
99% |
281
5.16 IPS |
