iPhone 8 Plus
Geekbench ML Score
633
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 08:42 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
140
26.1 IPS |
|
|
Image Classification (I8)
|
99% |
148
27.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2327
2.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
2731
3.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
2813
3.41 IPS |
|
|
Object Detection (F32)
|
100% |
266
19.8 IPS |
|
|
Object Detection (F16)
|
100% |
317
23.6 IPS |
|
|
Object Detection (I8)
|
97% |
269
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (I8)
|
99% |
1141
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2225
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2563
19.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2478
19.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4508
5.93 IPS |
|
|
Style Transfer (F16)
|
100% |
4953
6.51 IPS |
|
|
Style Transfer (I8)
|
100% |
4874
6.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1072
38.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1000
35.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1169
41.7 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.3 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.9 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.5 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.46 IPS |
|
|
Machine Translation (I8)
|
99% |
310
5.70 IPS |
