iPhone 8 Plus
Geekbench ML Score
633
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 25 2025 10:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
182
34.0 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
2337
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2655
3.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
2863
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
313
23.4 IPS |
|
|
Object Detection (F16)
|
100% |
295
22.0 IPS |
|
|
Object Detection (I8)
|
97% |
289
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
914
10.9 IPS |
|
|
Face Detection (I8)
|
99% |
946
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2221
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2664
20.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2368
18.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4687
6.16 IPS |
|
|
Style Transfer (F16)
|
100% |
5191
6.83 IPS |
|
|
Style Transfer (I8)
|
100% |
5046
6.64 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
917
32.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1175
42.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1075
38.4 IPS |
|
|
Text Classification (F32)
|
100% |
48
68.5 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.9 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.7 IPS |
|
|
Machine Translation (F32)
|
100% |
321
5.90 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.57 IPS |
|
|
Machine Translation (I8)
|
99% |
316
5.81 IPS |
