iPhone 8
Geekbench ML Score
311
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 24 2025 10:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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% |
229
42.9 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.1 IPS |
|
|
Image Classification (I8)
|
99% |
205
38.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
183
3.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
187
3.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
856
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
824
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
845
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
187
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
172
12.8 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
363
4.32 IPS |
|
|
Face Detection (F16)
|
100% |
354
4.21 IPS |
|
|
Face Detection (I8)
|
99% |
320
3.81 IPS |
|
|
Depth Estimation (F32)
|
100% |
340
2.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
320
2.48 IPS |
|
|
Depth Estimation (I8)
|
99% |
317
2.46 IPS |
|
|
Style Transfer (F32)
|
100% |
904
1.19 IPS |
|
|
Style Transfer (F16)
|
100% |
888
1.17 IPS |
|
|
Style Transfer (I8)
|
100% |
916
1.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
297
10.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
361
12.9 IPS |
|
|
Text Classification (F32)
|
100% |
154
221.1 IPS |
|
|
Text Classification (F16)
|
100% |
152
218.7 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.8 IPS |
|
|
Machine Translation (F32)
|
100% |
273
5.03 IPS |
|
|
Machine Translation (F16)
|
100% |
225
4.14 IPS |
|
|
Machine Translation (I8)
|
99% |
267
4.92 IPS |
