iPhone 8
Geekbench ML Score
359
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 07 2024 10:05 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% |
231
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.5 IPS |
|
|
Image Classification (I8)
|
99% |
208
38.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
191
3.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (I8)
|
100% |
190
3.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
864
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
877
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
879
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
187
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
97% |
231
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.30 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.18 IPS |
|
|
Face Detection (I8)
|
99% |
437
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
553
4.29 IPS |
|
|
Depth Estimation (F16)
|
100% |
432
3.35 IPS |
|
|
Depth Estimation (I8)
|
99% |
431
3.34 IPS |
|
|
Style Transfer (F32)
|
100% |
1309
1.72 IPS |
|
|
Style Transfer (F16)
|
100% |
1258
1.66 IPS |
|
|
Style Transfer (I8)
|
100% |
1334
1.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
312
11.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
410
14.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
420
15.0 IPS |
|
|
Text Classification (F32)
|
100% |
153
220.6 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.6 IPS |
|
|
Text Classification (I8)
|
96% |
201
289.5 IPS |
|
|
Machine Translation (F32)
|
100% |
282
5.18 IPS |
|
|
Machine Translation (F16)
|
100% |
223
4.10 IPS |
|
|
Machine Translation (I8)
|
99% |
256
4.70 IPS |
