iPhone 8
Geekbench ML Score
371
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 07:07 AM |
| 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% |
229
42.8 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.1 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
190
3.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
863
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
871
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
869
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
215
16.1 IPS |
|
|
Object Detection (I8)
|
97% |
233
17.4 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.29 IPS |
|
|
Face Detection (F16)
|
100% |
438
5.20 IPS |
|
|
Face Detection (I8)
|
99% |
435
5.18 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
472
3.66 IPS |
|
|
Depth Estimation (I8)
|
99% |
447
3.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1379
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
1284
1.69 IPS |
|
|
Style Transfer (I8)
|
100% |
1265
1.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
418
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
502
17.9 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.2 IPS |
|
|
Text Classification (F16)
|
100% |
203
292.1 IPS |
|
|
Text Classification (I8)
|
96% |
207
297.8 IPS |
|
|
Machine Translation (F32)
|
100% |
284
5.22 IPS |
|
|
Machine Translation (F16)
|
100% |
218
4.01 IPS |
|
|
Machine Translation (I8)
|
99% |
268
4.93 IPS |
