iPhone 8
Geekbench ML Score
314
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:32 PM |
| 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% |
225
42.0 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.2 IPS |
|
|
Image Classification (I8)
|
99% |
156
29.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
144
2.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
158
2.64 IPS |
|
|
Image Segmentation (I8)
|
100% |
168
2.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
889
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
681
0.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
672
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
143
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
134
10.0 IPS |
|
|
Object Detection (I8)
|
97% |
189
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
361
4.29 IPS |
|
|
Face Detection (F16)
|
100% |
356
4.24 IPS |
|
|
Face Detection (I8)
|
99% |
356
4.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
467
3.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
429
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1129
1.49 IPS |
|
|
Style Transfer (F16)
|
100% |
1046
1.38 IPS |
|
|
Style Transfer (I8)
|
100% |
1047
1.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
349
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
419
15.0 IPS |
|
|
Text Classification (F32)
|
100% |
204
293.8 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.7 IPS |
|
|
Text Classification (I8)
|
96% |
209
299.8 IPS |
|
|
Machine Translation (F32)
|
100% |
298
5.48 IPS |
|
|
Machine Translation (F16)
|
100% |
220
4.04 IPS |
|
|
Machine Translation (I8)
|
99% |
171
3.15 IPS |
