iPhone 8
Geekbench ML Score
374
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2026 02:28 AM |
| 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% |
218
40.7 IPS |
|
|
Image Classification (F16)
|
100% |
201
37.7 IPS |
|
|
Image Classification (I8)
|
99% |
197
36.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
2.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
175
2.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
173
2.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
808
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
804
0.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
777
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
207
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
190
14.2 IPS |
|
|
Object Detection (I8)
|
97% |
214
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
433
5.15 IPS |
|
|
Face Detection (F16)
|
100% |
445
5.29 IPS |
|
|
Face Detection (I8)
|
99% |
448
5.32 IPS |
|
|
Depth Estimation (F32)
|
100% |
516
4.00 IPS |
|
|
Depth Estimation (F16)
|
100% |
492
3.81 IPS |
|
|
Depth Estimation (I8)
|
99% |
494
3.83 IPS |
|
|
Style Transfer (F32)
|
100% |
1436
1.89 IPS |
|
|
Style Transfer (F16)
|
100% |
1473
1.94 IPS |
|
|
Style Transfer (I8)
|
100% |
1473
1.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
465
16.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
477
17.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
482
17.2 IPS |
|
|
Text Classification (F32)
|
100% |
223
320.7 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.2 IPS |
|
|
Text Classification (I8)
|
96% |
219
314.3 IPS |
|
|
Machine Translation (F32)
|
100% |
296
5.44 IPS |
|
|
Machine Translation (F16)
|
100% |
252
4.63 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.65 IPS |
