iPhone 8
Geekbench ML Score
361
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 09:22 PM |
| Views | 1 |
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% |
222
41.6 IPS |
|
|
Image Classification (F16)
|
100% |
204
38.2 IPS |
|
|
Image Classification (I8)
|
99% |
202
37.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
169
2.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
175
2.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
918
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
896
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
831
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
214
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
199
14.9 IPS |
|
|
Object Detection (I8)
|
97% |
218
16.3 IPS |
|
|
Face Detection (F32)
|
100% |
389
4.62 IPS |
|
|
Face Detection (F16)
|
100% |
399
4.75 IPS |
|
|
Face Detection (I8)
|
99% |
403
4.79 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
484
3.76 IPS |
|
|
Depth Estimation (I8)
|
99% |
484
3.75 IPS |
|
|
Style Transfer (F32)
|
100% |
1406
1.85 IPS |
|
|
Style Transfer (F16)
|
100% |
1315
1.73 IPS |
|
|
Style Transfer (I8)
|
100% |
1318
1.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
393
14.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
477
17.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
474
16.9 IPS |
|
|
Text Classification (F32)
|
100% |
201
288.4 IPS |
|
|
Text Classification (F16)
|
100% |
207
296.9 IPS |
|
|
Text Classification (I8)
|
96% |
211
303.6 IPS |
|
|
Machine Translation (F32)
|
100% |
260
4.79 IPS |
|
|
Machine Translation (F16)
|
100% |
174
3.21 IPS |
|
|
Machine Translation (I8)
|
99% |
251
4.62 IPS |
