iPhone 8
Geekbench ML Score
340
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 07:19 PM |
| Views | 12 |
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% |
231
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
212
39.7 IPS |
|
|
Image Classification (I8)
|
99% |
211
39.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
169
2.82 IPS |
|
|
Image Segmentation (I8)
|
100% |
166
2.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
954
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
782
0.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
809
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
183
13.7 IPS |
|
|
Object Detection (F16)
|
100% |
211
15.7 IPS |
|
|
Object Detection (I8)
|
97% |
234
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.29 IPS |
|
|
Face Detection (F16)
|
100% |
437
5.19 IPS |
|
|
Face Detection (I8)
|
99% |
375
4.46 IPS |
|
|
Depth Estimation (F32)
|
100% |
547
4.24 IPS |
|
|
Depth Estimation (F16)
|
100% |
433
3.36 IPS |
|
|
Depth Estimation (I8)
|
99% |
428
3.32 IPS |
|
|
Style Transfer (F32)
|
100% |
1030
1.36 IPS |
|
|
Style Transfer (F16)
|
100% |
1265
1.66 IPS |
|
|
Style Transfer (I8)
|
100% |
1105
1.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
419
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
388
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
151
216.8 IPS |
|
|
Text Classification (F16)
|
100% |
149
214.2 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.5 IPS |
|
|
Machine Translation (F32)
|
100% |
238
4.37 IPS |
|
|
Machine Translation (F16)
|
100% |
168
3.09 IPS |
|
|
Machine Translation (I8)
|
99% |
227
4.17 IPS |
