iPhone 8
Geekbench ML Score
656
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 29 2025 01:32 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
220
41.2 IPS |
|
|
Image Classification (F16)
|
100% |
183
34.2 IPS |
|
|
Image Classification (I8)
|
99% |
174
32.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.23 IPS |
|
|
Image Segmentation (I8)
|
100% |
193
3.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
1950
2.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
2558
3.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
2541
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
339
25.3 IPS |
|
|
Object Detection (F16)
|
100% |
301
22.5 IPS |
|
|
Object Detection (I8)
|
97% |
327
24.4 IPS |
|
|
Face Detection (F32)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
953
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2606
20.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2903
22.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2906
22.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5573
7.33 IPS |
|
|
Style Transfer (F16)
|
100% |
6549
8.62 IPS |
|
|
Style Transfer (I8)
|
100% |
5826
7.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1083
38.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1013
36.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1051
37.5 IPS |
|
|
Text Classification (F32)
|
100% |
66
95.4 IPS |
|
|
Text Classification (F16)
|
100% |
170
244.1 IPS |
|
|
Text Classification (I8)
|
96% |
174
249.9 IPS |
|
|
Machine Translation (F32)
|
100% |
269
4.95 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.76 IPS |
|
|
Machine Translation (I8)
|
99% |
283
5.20 IPS |
