iPhone 8 Plus
Geekbench ML Score
618
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2026 02:33 AM |
| 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% |
173
32.4 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.4 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2135
2.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
2353
2.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
2481
3.00 IPS |
|
|
Object Detection (F32)
|
100% |
245
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
337
25.2 IPS |
|
|
Object Detection (I8)
|
97% |
285
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
899
10.7 IPS |
|
|
Face Detection (F16)
|
100% |
937
11.1 IPS |
|
|
Face Detection (I8)
|
99% |
930
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2117
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2570
19.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2447
19.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4304
5.66 IPS |
|
|
Style Transfer (F16)
|
100% |
4494
5.91 IPS |
|
|
Style Transfer (I8)
|
100% |
4651
6.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1347
48.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1123
40.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1064
38.0 IPS |
|
|
Text Classification (F32)
|
100% |
57
82.6 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.5 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.6 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.66 IPS |
|
|
Machine Translation (F16)
|
100% |
234
4.31 IPS |
|
|
Machine Translation (I8)
|
99% |
271
4.98 IPS |
