iPhone 8
Geekbench ML Score
375
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 21 2025 06:40 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% |
206
38.6 IPS |
|
|
Image Classification (F16)
|
100% |
168
31.5 IPS |
|
|
Image Classification (I8)
|
99% |
193
36.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
179
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
178
2.98 IPS |
|
|
Image Segmentation (I8)
|
100% |
177
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
1022
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
883
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
883
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
186
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
212
15.8 IPS |
|
|
Object Detection (I8)
|
97% |
232
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
442
5.25 IPS |
|
|
Face Detection (F16)
|
100% |
439
5.22 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
470
3.64 IPS |
|
|
Depth Estimation (I8)
|
99% |
462
3.58 IPS |
|
|
Style Transfer (F32)
|
100% |
1377
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
1403
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1401
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
505
18.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
202
291.0 IPS |
|
|
Text Classification (F16)
|
100% |
212
305.0 IPS |
|
|
Text Classification (I8)
|
96% |
215
309.2 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
287
5.29 IPS |
