iPhone 8
Geekbench ML Score
365
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 10:35 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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% |
228
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
215
40.2 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
176
2.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
888
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
864
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
814
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
187
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
173
12.9 IPS |
|
|
Object Detection (I8)
|
97% |
219
16.3 IPS |
|
|
Face Detection (F32)
|
100% |
422
5.01 IPS |
|
|
Face Detection (F16)
|
100% |
437
5.20 IPS |
|
|
Face Detection (I8)
|
99% |
437
5.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
565
4.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
432
3.35 IPS |
|
|
Style Transfer (F32)
|
100% |
1372
1.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1322
1.74 IPS |
|
|
Style Transfer (I8)
|
100% |
1313
1.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
419
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
506
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.3 IPS |
|
|
Text Classification (F16)
|
100% |
204
293.7 IPS |
|
|
Text Classification (I8)
|
96% |
216
309.9 IPS |
|
|
Machine Translation (F32)
|
100% |
300
5.51 IPS |
|
|
Machine Translation (F16)
|
100% |
225
4.15 IPS |
|
|
Machine Translation (I8)
|
99% |
267
4.91 IPS |
