iPhone 8
Geekbench ML Score
350
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 03 2025 10:08 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
232
43.4 IPS |
|
|
Image Classification (F16)
|
100% |
213
39.8 IPS |
|
|
Image Classification (I8)
|
99% |
212
39.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (I8)
|
100% |
165
2.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
969
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
850
1.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
852
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
183
13.7 IPS |
|
|
Object Detection (F16)
|
100% |
169
12.6 IPS |
|
|
Object Detection (I8)
|
97% |
213
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
413
4.92 IPS |
|
|
Face Detection (F16)
|
100% |
420
4.99 IPS |
|
|
Face Detection (I8)
|
99% |
420
5.00 IPS |
|
|
Depth Estimation (F32)
|
100% |
544
4.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
463
3.59 IPS |
|
|
Depth Estimation (I8)
|
99% |
507
3.94 IPS |
|
|
Style Transfer (F32)
|
100% |
1381
1.82 IPS |
|
|
Style Transfer (F16)
|
100% |
1328
1.75 IPS |
|
|
Style Transfer (I8)
|
100% |
1311
1.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
399
14.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
433
15.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
504
18.0 IPS |
|
|
Text Classification (F32)
|
100% |
203
291.4 IPS |
|
|
Text Classification (F16)
|
100% |
224
321.6 IPS |
|
|
Text Classification (I8)
|
96% |
229
328.6 IPS |
|
|
Machine Translation (F32)
|
100% |
218
4.02 IPS |
|
|
Machine Translation (F16)
|
100% |
126
2.32 IPS |
|
|
Machine Translation (I8)
|
99% |
137
2.52 IPS |
