iPhone 8
Geekbench ML Score
416
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 06 2024 10:20 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% |
235
44.0 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.7 IPS |
|
|
Image Classification (I8)
|
99% |
213
39.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
955
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
1006
1.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
974
1.18 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
234
17.4 IPS |
|
|
Object Detection (I8)
|
97% |
253
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
483
5.75 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.65 IPS |
|
|
Face Detection (I8)
|
99% |
471
5.60 IPS |
|
|
Depth Estimation (F32)
|
100% |
614
4.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
533
4.13 IPS |
|
|
Depth Estimation (I8)
|
99% |
529
4.10 IPS |
|
|
Style Transfer (F32)
|
100% |
1573
2.07 IPS |
|
|
Style Transfer (F16)
|
100% |
1548
2.04 IPS |
|
|
Style Transfer (I8)
|
100% |
1541
2.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
517
18.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
557
19.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
555
19.8 IPS |
|
|
Text Classification (F32)
|
100% |
237
340.7 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.3 IPS |
|
|
Text Classification (I8)
|
96% |
220
315.8 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.67 IPS |
|
|
Machine Translation (F16)
|
100% |
257
4.72 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |
