iPhone 8
Geekbench ML Score
618
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 18 2026 10:59 PM |
| Views | 3 |
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% |
184
34.4 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2317
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2788
3.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
2610
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
271
20.3 IPS |
|
|
Object Detection (F16)
|
100% |
290
21.7 IPS |
|
|
Object Detection (I8)
|
97% |
283
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
946
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
896
10.6 IPS |
|
|
Face Detection (I8)
|
99% |
975
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2220
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2454
19.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2271
17.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4724
6.21 IPS |
|
|
Style Transfer (F16)
|
100% |
4987
6.56 IPS |
|
|
Style Transfer (I8)
|
100% |
5108
6.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
885
31.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1069
38.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
993
35.5 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.1 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.7 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.5 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.75 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
281
5.18 IPS |
