iPhone 8
Geekbench ML Score
267
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 09:14 PM |
| Views | 7 |
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% |
235
43.9 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.4 IPS |
|
|
Image Classification (I8)
|
99% |
203
38.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
189
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
894
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
848
1.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
661
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
124
9.26 IPS |
|
|
Object Detection (F16)
|
100% |
113
8.43 IPS |
|
|
Object Detection (I8)
|
97% |
141
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
281
3.34 IPS |
|
|
Face Detection (F16)
|
100% |
275
3.27 IPS |
|
|
Face Detection (I8)
|
99% |
299
3.55 IPS |
|
|
Depth Estimation (F32)
|
100% |
419
3.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
318
2.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
317
2.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1015
1.34 IPS |
|
|
Style Transfer (F16)
|
100% |
894
1.18 IPS |
|
|
Style Transfer (I8)
|
100% |
737
0.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
277
9.89 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
314
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
313
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
100
144.4 IPS |
|
|
Text Classification (F16)
|
100% |
142
203.8 IPS |
|
|
Text Classification (I8)
|
96% |
151
217.6 IPS |
|
|
Machine Translation (F32)
|
100% |
180
3.31 IPS |
|
|
Machine Translation (F16)
|
100% |
99
1.81 IPS |
|
|
Machine Translation (I8)
|
99% |
149
2.74 IPS |
