iPhone 8
Geekbench ML Score
296
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2025 12:05 AM |
| Views | 2 |
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% |
235
44.0 IPS |
|
|
Image Classification (F16)
|
100% |
155
28.9 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
139
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
138
2.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
831
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
664
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
659
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
141
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
127
9.51 IPS |
|
|
Object Detection (I8)
|
97% |
156
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
358
4.25 IPS |
|
|
Face Detection (F16)
|
100% |
354
4.21 IPS |
|
|
Face Detection (I8)
|
99% |
354
4.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
463
3.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
422
3.27 IPS |
|
|
Depth Estimation (I8)
|
99% |
423
3.28 IPS |
|
|
Style Transfer (F32)
|
100% |
1105
1.45 IPS |
|
|
Style Transfer (F16)
|
100% |
1037
1.36 IPS |
|
|
Style Transfer (I8)
|
100% |
1032
1.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
315
11.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
324
11.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
417
14.9 IPS |
|
|
Text Classification (F32)
|
100% |
152
218.5 IPS |
|
|
Text Classification (F16)
|
100% |
150
216.0 IPS |
|
|
Text Classification (I8)
|
96% |
198
283.9 IPS |
|
|
Machine Translation (F32)
|
100% |
251
4.62 IPS |
|
|
Machine Translation (F16)
|
100% |
197
3.62 IPS |
|
|
Machine Translation (I8)
|
99% |
241
4.43 IPS |
