iPhone 8 Plus
Geekbench ML Score
645
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 17 2026 10:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.15 |
| 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% |
183
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
173
32.4 IPS |
|
|
Image Classification (I8)
|
99% |
176
33.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
2284
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2874
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2870
3.48 IPS |
|
|
Object Detection (F32)
|
100% |
325
24.3 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
97% |
308
23.0 IPS |
|
|
Face Detection (F32)
|
100% |
970
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
988
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
990
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2255
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2366
18.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2342
18.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4362
5.74 IPS |
|
|
Style Transfer (F16)
|
100% |
5100
6.71 IPS |
|
|
Style Transfer (I8)
|
100% |
4859
6.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1242
44.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1071
38.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1089
38.9 IPS |
|
|
Text Classification (F32)
|
100% |
51
72.6 IPS |
|
|
Text Classification (F16)
|
100% |
200
286.9 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.1 IPS |
|
|
Machine Translation (F32)
|
100% |
316
5.82 IPS |
|
|
Machine Translation (F16)
|
100% |
245
4.51 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.77 IPS |
