iPhone 8 Plus
Geekbench ML Score
621
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 18 2026 07:22 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% |
177
33.1 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.1 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2243
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2723
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2732
3.31 IPS |
|
|
Object Detection (F32)
|
100% |
285
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
343
25.6 IPS |
|
|
Object Detection (I8)
|
97% |
265
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
930
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
942
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
963
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2122
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2373
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2344
18.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4466
5.87 IPS |
|
|
Style Transfer (F16)
|
100% |
4960
6.52 IPS |
|
|
Style Transfer (I8)
|
100% |
4866
6.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
920
32.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1126
40.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1005
35.9 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.5 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.7 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.9 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.48 IPS |
|
|
Machine Translation (I8)
|
99% |
312
5.75 IPS |
