iPhone 8
Geekbench ML Score
378
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 21 2025 07:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
218
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
160
30.0 IPS |
|
|
Image Classification (I8)
|
99% |
185
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
180
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
177
2.96 IPS |
|
|
Image Segmentation (I8)
|
100% |
178
2.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
959
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
887
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
872
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
187
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
212
15.9 IPS |
|
|
Object Detection (I8)
|
97% |
231
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.28 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.18 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.18 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
524
4.06 IPS |
|
|
Depth Estimation (I8)
|
99% |
526
4.08 IPS |
|
|
Style Transfer (F32)
|
100% |
1471
1.94 IPS |
|
|
Style Transfer (F16)
|
100% |
1410
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1396
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
511
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
211
303.5 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.4 IPS |
|
|
Text Classification (I8)
|
96% |
218
313.4 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.71 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.44 IPS |
|
|
Machine Translation (I8)
|
99% |
290
5.34 IPS |
