iPhone 8
Geekbench ML Score
596
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 11:56 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
179
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
148
27.6 IPS |
|
|
Image Classification (I8)
|
99% |
156
29.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2373
2.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
2672
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2525
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
304
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
246
18.4 IPS |
|
|
Object Detection (I8)
|
97% |
306
22.8 IPS |
|
|
Face Detection (F32)
|
100% |
928
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
951
11.3 IPS |
|
|
Face Detection (I8)
|
99% |
937
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2259
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2516
19.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2511
19.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4586
6.03 IPS |
|
|
Style Transfer (F16)
|
100% |
5070
6.67 IPS |
|
|
Style Transfer (I8)
|
100% |
4819
6.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1158
41.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1241
44.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
989
35.3 IPS |
|
|
Text Classification (F32)
|
100% |
49
69.7 IPS |
|
|
Text Classification (F16)
|
100% |
197
282.9 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.1 IPS |
|
|
Machine Translation (F32)
|
100% |
282
5.19 IPS |
|
|
Machine Translation (F16)
|
100% |
124
2.29 IPS |
|
|
Machine Translation (I8)
|
99% |
130
2.40 IPS |
