iPhone 8
Geekbench ML Score
623
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 02:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
178
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
150
28.0 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
2292
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2877
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2562
3.10 IPS |
|
|
Object Detection (F32)
|
100% |
280
20.9 IPS |
|
|
Object Detection (F16)
|
100% |
282
21.0 IPS |
|
|
Object Detection (I8)
|
97% |
284
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
904
10.7 IPS |
|
|
Face Detection (F16)
|
100% |
984
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
928
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2174
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2603
20.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2473
19.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4176
5.49 IPS |
|
|
Style Transfer (F16)
|
100% |
4758
6.26 IPS |
|
|
Style Transfer (I8)
|
100% |
4869
6.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1293
46.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
991
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1148
41.0 IPS |
|
|
Text Classification (F32)
|
100% |
54
77.5 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.3 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.8 IPS |
|
|
Machine Translation (F32)
|
100% |
282
5.18 IPS |
|
|
Machine Translation (F16)
|
100% |
217
4.00 IPS |
|
|
Machine Translation (I8)
|
99% |
285
5.24 IPS |
