iPhone 8
Geekbench ML Score
616
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 24 2025 09:58 PM |
| Views | 1 |
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% |
175
32.8 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.6 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2163
2.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
2464
2.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
2320
2.81 IPS |
|
|
Object Detection (F32)
|
100% |
303
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
252
18.8 IPS |
|
|
Object Detection (I8)
|
97% |
297
22.2 IPS |
|
|
Face Detection (F32)
|
100% |
937
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (I8)
|
99% |
1007
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2112
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2326
18.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2424
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4413
5.81 IPS |
|
|
Style Transfer (F16)
|
100% |
4853
6.38 IPS |
|
|
Style Transfer (I8)
|
100% |
4901
6.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1169
41.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1244
44.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1081
38.6 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.7 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.5 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
298
5.49 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.22 IPS |
|
|
Machine Translation (I8)
|
99% |
264
4.85 IPS |
