iPhone 8 Plus
Geekbench ML Score
636
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2025 02:26 PM |
| Views | 6 |
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% |
187
35.0 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
141
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
2273
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
2724
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2576
3.12 IPS |
|
|
Object Detection (F32)
|
100% |
334
24.9 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
369
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
992
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
1011
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2159
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2296
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2319
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4448
5.85 IPS |
|
|
Style Transfer (F16)
|
100% |
5010
6.59 IPS |
|
|
Style Transfer (I8)
|
100% |
5006
6.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1006
35.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1298
46.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1040
37.1 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.1 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.1 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.6 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (I8)
|
99% |
314
5.79 IPS |
