iPhone 8
Geekbench ML Score
386
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 06 2025 02:29 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
217
40.7 IPS |
|
|
Image Classification (F16)
|
100% |
201
37.6 IPS |
|
|
Image Classification (I8)
|
99% |
193
36.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
180
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
187
3.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
784
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
762
0.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
873
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
230
17.2 IPS |
|
|
Object Detection (F16)
|
100% |
216
16.1 IPS |
|
|
Object Detection (I8)
|
97% |
235
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.30 IPS |
|
|
Face Detection (F16)
|
100% |
467
5.56 IPS |
|
|
Face Detection (I8)
|
99% |
470
5.58 IPS |
|
|
Depth Estimation (F32)
|
100% |
565
4.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
531
4.12 IPS |
|
|
Depth Estimation (I8)
|
99% |
520
4.03 IPS |
|
|
Style Transfer (F32)
|
100% |
1597
2.10 IPS |
|
|
Style Transfer (F16)
|
100% |
1602
2.11 IPS |
|
|
Style Transfer (I8)
|
100% |
1621
2.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
504
18.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
497
17.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
485
17.3 IPS |
|
|
Text Classification (F32)
|
100% |
198
284.2 IPS |
|
|
Text Classification (F16)
|
100% |
216
311.0 IPS |
|
|
Text Classification (I8)
|
96% |
217
312.0 IPS |
|
|
Machine Translation (F32)
|
100% |
274
5.04 IPS |
|
|
Machine Translation (F16)
|
100% |
223
4.10 IPS |
|
|
Machine Translation (I8)
|
99% |
290
5.33 IPS |
