iPhone 8
Geekbench ML Score
377
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2024 07:44 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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
44.1 IPS |
|
|
Image Classification (F16)
|
100% |
218
40.8 IPS |
|
|
Image Classification (I8)
|
99% |
214
40.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (I8)
|
100% |
155
2.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
906
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
867
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
867
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
186
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
210
15.7 IPS |
|
|
Object Detection (I8)
|
97% |
231
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
432
5.13 IPS |
|
|
Face Detection (F16)
|
100% |
433
5.15 IPS |
|
|
Face Detection (I8)
|
99% |
435
5.17 IPS |
|
|
Depth Estimation (F32)
|
100% |
585
4.54 IPS |
|
|
Depth Estimation (F16)
|
100% |
526
4.08 IPS |
|
|
Depth Estimation (I8)
|
99% |
522
4.04 IPS |
|
|
Style Transfer (F32)
|
100% |
1539
2.02 IPS |
|
|
Style Transfer (F16)
|
100% |
1422
1.87 IPS |
|
|
Style Transfer (I8)
|
100% |
1407
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
516
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
552
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
231
331.7 IPS |
|
|
Text Classification (F16)
|
100% |
217
311.4 IPS |
|
|
Text Classification (I8)
|
96% |
221
316.9 IPS |
|
|
Machine Translation (F32)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (F16)
|
100% |
172
3.17 IPS |
|
|
Machine Translation (I8)
|
99% |
190
3.50 IPS |
