iPhone 8 Plus
Geekbench ML Score
622
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 27 2025 06:06 PM |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
181
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2230
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
2638
3.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
2797
3.39 IPS |
|
|
Object Detection (F32)
|
100% |
326
24.4 IPS |
|
|
Object Detection (F16)
|
100% |
308
23.0 IPS |
|
|
Object Detection (I8)
|
97% |
262
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
969
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
968
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2481
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2412
18.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2340
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4165
5.48 IPS |
|
|
Style Transfer (F16)
|
100% |
4608
6.06 IPS |
|
|
Style Transfer (I8)
|
100% |
4643
6.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
894
31.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1074
38.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1218
43.5 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.6 IPS |
|
|
Text Classification (F16)
|
100% |
197
282.9 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.9 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
263
4.84 IPS |
