iPhone 8 Plus
Geekbench ML Score
633
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 06:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
154
28.7 IPS |
|
|
Image Classification (I8)
|
99% |
150
28.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2379
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2878
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2868
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
300
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
306
22.8 IPS |
|
|
Object Detection (I8)
|
97% |
283
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
928
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
1009
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2128
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2455
19.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2341
18.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4539
5.97 IPS |
|
|
Style Transfer (F16)
|
100% |
4823
6.34 IPS |
|
|
Style Transfer (I8)
|
100% |
4717
6.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1122
40.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1116
39.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1011
36.1 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.1 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.3 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.3 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
245
4.51 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.77 IPS |
