iPhone 8
Geekbench ML Score
377
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 21 2025 06:56 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% |
215
40.3 IPS |
|
|
Image Classification (F16)
|
100% |
166
31.0 IPS |
|
|
Image Classification (I8)
|
99% |
189
35.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
179
2.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
177
2.96 IPS |
|
|
Image Segmentation (I8)
|
100% |
177
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
975
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
876
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
875
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
187
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
97% |
234
17.4 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.28 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.18 IPS |
|
|
Face Detection (I8)
|
99% |
439
5.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
567
4.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
503
3.90 IPS |
|
|
Depth Estimation (I8)
|
99% |
524
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1425
1.87 IPS |
|
|
Style Transfer (F16)
|
100% |
1402
1.84 IPS |
|
|
Style Transfer (I8)
|
100% |
1398
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
507
18.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
205
294.0 IPS |
|
|
Text Classification (F16)
|
100% |
212
304.5 IPS |
|
|
Text Classification (I8)
|
96% |
218
312.9 IPS |
|
|
Machine Translation (F32)
|
100% |
321
5.90 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.28 IPS |
|
|
Machine Translation (I8)
|
99% |
289
5.31 IPS |
