iPhone 8 Plus
Geekbench ML Score
611
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2026 02:39 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
154
28.9 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
2255
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2677
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2572
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
320
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
97% |
306
22.9 IPS |
|
|
Face Detection (F32)
|
100% |
977
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
947
11.3 IPS |
|
|
Face Detection (I8)
|
99% |
956
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2019
15.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2331
18.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2377
18.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4087
5.38 IPS |
|
|
Style Transfer (F16)
|
100% |
4826
6.35 IPS |
|
|
Style Transfer (I8)
|
100% |
4707
6.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
933
33.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1104
39.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
953
34.0 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.8 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.4 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.3 IPS |
|
|
Machine Translation (F32)
|
100% |
292
5.36 IPS |
|
|
Machine Translation (F16)
|
100% |
221
4.07 IPS |
|
|
Machine Translation (I8)
|
99% |
249
4.59 IPS |
