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 | April 18 2026 07:26 PM |
| 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% |
174
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.5 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2238
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
2617
3.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2643
3.20 IPS |
|
|
Object Detection (F32)
|
100% |
276
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
296
22.1 IPS |
|
|
Object Detection (I8)
|
97% |
271
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
910
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
986
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
1072
12.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2527
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2934
22.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2836
22.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4279
5.63 IPS |
|
|
Style Transfer (F16)
|
100% |
4874
6.41 IPS |
|
|
Style Transfer (I8)
|
100% |
4950
6.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
849
30.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1248
44.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1042
37.2 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.7 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.0 IPS |
|
|
Text Classification (I8)
|
96% |
202
289.8 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.70 IPS |
|
|
Machine Translation (F16)
|
100% |
236
4.35 IPS |
|
|
Machine Translation (I8)
|
99% |
280
5.14 IPS |
