iPhone 8 Plus
Geekbench ML Score
388
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 06:30 AM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
237
44.4 IPS |
|
|
Image Classification (F16)
|
100% |
208
39.0 IPS |
|
|
Image Classification (I8)
|
99% |
199
37.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
871
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
671
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
693
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
191
14.3 IPS |
|
|
Object Detection (I8)
|
97% |
235
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.29 IPS |
|
|
Face Detection (F16)
|
100% |
439
5.21 IPS |
|
|
Face Detection (I8)
|
99% |
447
5.32 IPS |
|
|
Depth Estimation (F32)
|
100% |
615
4.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
537
4.17 IPS |
|
|
Depth Estimation (I8)
|
99% |
523
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1585
2.08 IPS |
|
|
Style Transfer (F16)
|
100% |
1605
2.11 IPS |
|
|
Style Transfer (I8)
|
100% |
1588
2.09 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
523
18.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
533
19.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
523
18.7 IPS |
|
|
Text Classification (F32)
|
100% |
229
329.5 IPS |
|
|
Text Classification (F16)
|
100% |
215
309.4 IPS |
|
|
Text Classification (I8)
|
96% |
224
321.5 IPS |
|
|
Machine Translation (F32)
|
100% |
332
6.12 IPS |
|
|
Machine Translation (F16)
|
100% |
262
4.83 IPS |
|
|
Machine Translation (I8)
|
99% |
333
6.13 IPS |
