iPhone 8 Plus
Geekbench ML Score
632
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 03:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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% |
205
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
177
33.2 IPS |
|
|
Image Classification (I8)
|
99% |
172
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
2294
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2625
3.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
2610
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
307
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
251
18.8 IPS |
|
|
Object Detection (I8)
|
97% |
270
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
927
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
939
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
1026
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2152
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2508
19.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2422
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4627
6.09 IPS |
|
|
Style Transfer (F16)
|
100% |
5221
6.87 IPS |
|
|
Style Transfer (I8)
|
100% |
4856
6.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1161
41.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1018
36.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1034
36.9 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.3 IPS |
|
|
Text Classification (F16)
|
100% |
197
283.0 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.3 IPS |
|
|
Machine Translation (F32)
|
100% |
312
5.74 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
302
5.56 IPS |
