iPhone 8 Plus
Geekbench ML Score
342
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 26 2024 02:20 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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% |
235
43.9 IPS |
|
|
Image Classification (F16)
|
100% |
215
40.3 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
138
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
839
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
645
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
659
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
173
12.9 IPS |
|
|
Object Detection (F16)
|
100% |
170
12.7 IPS |
|
|
Object Detection (I8)
|
97% |
228
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.27 IPS |
|
|
Face Detection (F16)
|
100% |
384
4.57 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
464
3.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
521
4.04 IPS |
|
|
Depth Estimation (I8)
|
99% |
519
4.03 IPS |
|
|
Style Transfer (F32)
|
100% |
1358
1.79 IPS |
|
|
Style Transfer (F16)
|
100% |
1038
1.36 IPS |
|
|
Style Transfer (I8)
|
100% |
1080
1.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
419
14.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
417
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
399
14.3 IPS |
|
|
Text Classification (F32)
|
100% |
199
286.5 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.4 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.9 IPS |
|
|
Machine Translation (F32)
|
100% |
276
5.08 IPS |
|
|
Machine Translation (F16)
|
100% |
200
3.68 IPS |
|
|
Machine Translation (I8)
|
99% |
256
4.72 IPS |
