iPhone 8
Geekbench ML Score
383
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 10:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
231
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.5 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
191
3.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
194
3.23 IPS |
|
|
Image Segmentation (I8)
|
100% |
193
3.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
906
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
879
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
879
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
215
16.1 IPS |
|
|
Object Detection (I8)
|
97% |
238
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
446
5.31 IPS |
|
|
Face Detection (F16)
|
100% |
440
5.23 IPS |
|
|
Face Detection (I8)
|
99% |
440
5.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.42 IPS |
|
|
Depth Estimation (F16)
|
100% |
486
3.77 IPS |
|
|
Depth Estimation (I8)
|
99% |
483
3.74 IPS |
|
|
Style Transfer (F32)
|
100% |
1387
1.82 IPS |
|
|
Style Transfer (F16)
|
100% |
1388
1.83 IPS |
|
|
Style Transfer (I8)
|
100% |
1415
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
508
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.5 IPS |
|
|
Text Classification (F16)
|
100% |
213
305.9 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.9 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.70 IPS |
|
|
Machine Translation (F16)
|
100% |
236
4.35 IPS |
|
|
Machine Translation (I8)
|
99% |
280
5.16 IPS |
