iPhone 8
Geekbench ML Score
650
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 28 2026 07:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.14 |
| 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% |
217
40.5 IPS |
|
|
Image Classification (F16)
|
100% |
169
31.5 IPS |
|
|
Image Classification (I8)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
182
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2334
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2660
3.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
2867
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
385
28.8 IPS |
|
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
|
Object Detection (I8)
|
97% |
342
25.5 IPS |
|
|
Face Detection (F32)
|
100% |
991
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
983
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
1032
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2341
18.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2437
18.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2366
18.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4585
6.03 IPS |
|
|
Style Transfer (F16)
|
100% |
4904
6.45 IPS |
|
|
Style Transfer (I8)
|
100% |
5834
7.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1102
39.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1166
41.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1000
35.7 IPS |
|
|
Text Classification (F32)
|
100% |
49
71.1 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.3 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
275
5.06 IPS |
|
|
Machine Translation (F16)
|
100% |
216
3.97 IPS |
|
|
Machine Translation (I8)
|
99% |
282
5.20 IPS |
