iPhone 8
Geekbench ML Score
400
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 06 2026 01:17 PM |
| Views | 1 |
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% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
220
41.1 IPS |
|
|
Image Classification (I8)
|
99% |
212
39.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
1027
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
973
1.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
964
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
235
17.6 IPS |
|
|
Object Detection (I8)
|
97% |
251
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
479
5.70 IPS |
|
|
Face Detection (F16)
|
100% |
472
5.61 IPS |
|
|
Face Detection (I8)
|
99% |
472
5.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
614
4.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
532
4.12 IPS |
|
|
Depth Estimation (I8)
|
99% |
523
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1570
2.07 IPS |
|
|
Style Transfer (F16)
|
100% |
1408
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1414
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
438
15.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
542
19.3 IPS |
|
|
Text Classification (F32)
|
100% |
232
333.9 IPS |
|
|
Text Classification (F16)
|
100% |
212
305.4 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.3 IPS |
|
|
Machine Translation (F32)
|
100% |
287
5.28 IPS |
|
|
Machine Translation (F16)
|
100% |
187
3.44 IPS |
|
|
Machine Translation (I8)
|
99% |
239
4.40 IPS |
