iPhone 8 Plus
Geekbench ML Score
419
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 06:31 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
238
44.6 IPS |
|
|
Image Classification (F16)
|
100% |
222
41.5 IPS |
|
|
Image Classification (I8)
|
99% |
217
40.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
205
3.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
208
3.47 IPS |
|
|
Image Segmentation (I8)
|
100% |
192
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
1076
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
912
1.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
876
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
224
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
214
16.0 IPS |
|
|
Object Detection (I8)
|
97% |
240
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
465
5.53 IPS |
|
|
Face Detection (F16)
|
100% |
471
5.60 IPS |
|
|
Face Detection (I8)
|
99% |
469
5.57 IPS |
|
|
Depth Estimation (F32)
|
100% |
624
4.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
552
4.28 IPS |
|
|
Depth Estimation (I8)
|
99% |
536
4.16 IPS |
|
|
Style Transfer (F32)
|
100% |
1659
2.18 IPS |
|
|
Style Transfer (F16)
|
100% |
1671
2.20 IPS |
|
|
Style Transfer (I8)
|
100% |
1668
2.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
523
18.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
556
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
572
20.4 IPS |
|
|
Text Classification (F32)
|
100% |
256
367.2 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.8 IPS |
|
|
Text Classification (I8)
|
96% |
224
321.3 IPS |
|
|
Machine Translation (F32)
|
100% |
331
6.08 IPS |
|
|
Machine Translation (F16)
|
100% |
268
4.94 IPS |
|
|
Machine Translation (I8)
|
99% |
334
6.15 IPS |
