iPhone 8 Plus
Geekbench ML Score
347
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 20 2024 03:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
234
43.7 IPS |
|
|
Image Classification (F16)
|
100% |
215
40.3 IPS |
|
|
Image Classification (I8)
|
99% |
213
39.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
192
3.21 IPS |
|
|
Image Segmentation (I8)
|
100% |
192
3.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
694
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
729
0.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
548
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
91
6.77 IPS |
|
|
Object Detection (F16)
|
100% |
124
9.26 IPS |
|
|
Object Detection (I8)
|
97% |
186
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
426
5.07 IPS |
|
|
Face Detection (F16)
|
100% |
426
5.07 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
524
4.06 IPS |
|
|
Depth Estimation (I8)
|
99% |
519
4.03 IPS |
|
|
Style Transfer (F32)
|
100% |
1339
1.76 IPS |
|
|
Style Transfer (F16)
|
100% |
1350
1.78 IPS |
|
|
Style Transfer (I8)
|
100% |
1299
1.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
416
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
508
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
202
290.9 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.1 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.6 IPS |
|
|
Machine Translation (F32)
|
100% |
286
5.26 IPS |
|
|
Machine Translation (F16)
|
100% |
221
4.07 IPS |
|
|
Machine Translation (I8)
|
99% |
262
4.82 IPS |
