iPhone 8
Geekbench ML Score
242
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 11:48 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
230
43.1 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
132
24.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
129
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
134
2.24 IPS |
|
|
Image Segmentation (I8)
|
100% |
141
2.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
729
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
660
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
584
0.71 IPS |
|
|
Object Detection (F32)
|
100% |
124
9.25 IPS |
|
|
Object Detection (F16)
|
100% |
114
8.54 IPS |
|
|
Object Detection (I8)
|
97% |
135
10.0 IPS |
|
|
Face Detection (F32)
|
100% |
285
3.38 IPS |
|
|
Face Detection (F16)
|
100% |
278
3.30 IPS |
|
|
Face Detection (I8)
|
99% |
300
3.56 IPS |
|
|
Depth Estimation (F32)
|
100% |
437
3.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
318
2.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
318
2.47 IPS |
|
|
Style Transfer (F32)
|
100% |
1022
1.34 IPS |
|
|
Style Transfer (F16)
|
100% |
707
0.93 IPS |
|
|
Style Transfer (I8)
|
100% |
558
0.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
265
9.45 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
266
9.51 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
315
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
101
144.6 IPS |
|
|
Text Classification (F16)
|
100% |
111
159.1 IPS |
|
|
Text Classification (I8)
|
96% |
150
215.1 IPS |
|
|
Machine Translation (F32)
|
100% |
194
3.57 IPS |
|
|
Machine Translation (F16)
|
100% |
122
2.25 IPS |
|
|
Machine Translation (I8)
|
99% |
169
3.12 IPS |
