iPhone 8 Plus
Geekbench ML Score
620
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2025 02:31 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
176
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.5 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2308
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2613
3.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
2543
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
310
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
260
19.4 IPS |
|
|
Object Detection (I8)
|
97% |
289
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
991
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
965
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
1014
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2115
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2297
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2284
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4370
5.75 IPS |
|
|
Style Transfer (F16)
|
100% |
4840
6.37 IPS |
|
|
Style Transfer (I8)
|
100% |
4930
6.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
971
34.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1026
36.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1186
42.4 IPS |
|
|
Text Classification (F32)
|
100% |
49
71.0 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.5 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.5 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.48 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.80 IPS |
