iPhone 8
Geekbench ML Score
364
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2024 10:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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% |
201
37.5 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
162
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
152
2.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
143
2.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
164
2.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
1019
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
875
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
874
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
189
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
97% |
200
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
428
5.09 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.18 IPS |
|
|
Face Detection (I8)
|
99% |
435
5.17 IPS |
|
|
Depth Estimation (F32)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
525
4.08 IPS |
|
|
Depth Estimation (I8)
|
99% |
522
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1547
2.03 IPS |
|
|
Style Transfer (F16)
|
100% |
1413
1.86 IPS |
|
|
Style Transfer (I8)
|
100% |
1401
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
509
18.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
508
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
552
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
233
334.8 IPS |
|
|
Text Classification (F16)
|
100% |
216
310.5 IPS |
|
|
Text Classification (I8)
|
96% |
229
329.7 IPS |
|
|
Machine Translation (F32)
|
100% |
293
5.40 IPS |
|
|
Machine Translation (F16)
|
100% |
173
3.19 IPS |
|
|
Machine Translation (I8)
|
99% |
202
3.72 IPS |
