iPhone 8
Geekbench ML Score
293
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 26 2024 09:50 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% |
207
38.8 IPS |
|
|
Image Classification (F16)
|
100% |
182
34.0 IPS |
|
|
Image Classification (I8)
|
99% |
187
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
174
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
165
2.75 IPS |
|
|
Image Segmentation (I8)
|
100% |
154
2.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
877
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
654
0.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
625
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
123
9.16 IPS |
|
|
Object Detection (F16)
|
100% |
112
8.37 IPS |
|
|
Object Detection (I8)
|
97% |
129
9.62 IPS |
|
|
Face Detection (F32)
|
100% |
280
3.33 IPS |
|
|
Face Detection (F16)
|
100% |
305
3.63 IPS |
|
|
Face Detection (I8)
|
99% |
349
4.15 IPS |
|
|
Depth Estimation (F32)
|
100% |
460
3.57 IPS |
|
|
Depth Estimation (F16)
|
100% |
424
3.28 IPS |
|
|
Depth Estimation (I8)
|
99% |
423
3.28 IPS |
|
|
Style Transfer (F32)
|
100% |
1099
1.45 IPS |
|
|
Style Transfer (F16)
|
100% |
1026
1.35 IPS |
|
|
Style Transfer (I8)
|
100% |
1021
1.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
310
11.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
417
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
418
14.9 IPS |
|
|
Text Classification (F32)
|
100% |
154
220.8 IPS |
|
|
Text Classification (F16)
|
100% |
153
219.8 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.8 IPS |
|
|
Machine Translation (F32)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (F16)
|
100% |
152
2.79 IPS |
|
|
Machine Translation (I8)
|
99% |
195
3.58 IPS |
