iPhone 8
Geekbench ML Score
384
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 21 2025 06:51 AM |
| Views | 2 |
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% |
221
41.4 IPS |
|
|
Image Classification (F16)
|
100% |
193
36.1 IPS |
|
|
Image Classification (I8)
|
99% |
193
36.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
180
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
179
2.99 IPS |
|
|
Image Segmentation (I8)
|
100% |
185
3.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
1035
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
837
1.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
871
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
187
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
212
15.9 IPS |
|
|
Object Detection (I8)
|
97% |
235
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
447
5.32 IPS |
|
|
Face Detection (F16)
|
100% |
439
5.22 IPS |
|
|
Face Detection (I8)
|
99% |
437
5.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
571
4.43 IPS |
|
|
Depth Estimation (F16)
|
100% |
522
4.05 IPS |
|
|
Depth Estimation (I8)
|
99% |
527
4.09 IPS |
|
|
Style Transfer (F32)
|
100% |
1475
1.94 IPS |
|
|
Style Transfer (F16)
|
100% |
1410
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1404
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
228
328.1 IPS |
|
|
Text Classification (F16)
|
100% |
213
305.5 IPS |
|
|
Text Classification (I8)
|
96% |
217
312.6 IPS |
|
|
Machine Translation (F32)
|
100% |
319
5.87 IPS |
|
|
Machine Translation (F16)
|
100% |
236
4.34 IPS |
|
|
Machine Translation (I8)
|
99% |
299
5.51 IPS |
