iPhone 8 Plus
Geekbench ML Score
355
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2025 07:51 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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 | 2.90 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% |
208
38.9 IPS |
|
|
Image Classification (I8)
|
99% |
208
38.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
196
3.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
194
3.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
1015
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
877
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
873
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
175
13.0 IPS |
|
|
Object Detection (I8)
|
97% |
235
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
426
5.07 IPS |
|
|
Face Detection (F16)
|
100% |
430
5.11 IPS |
|
|
Face Detection (I8)
|
99% |
419
4.98 IPS |
|
|
Depth Estimation (F32)
|
100% |
525
4.07 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.34 IPS |
|
|
Depth Estimation (I8)
|
99% |
429
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1152
1.52 IPS |
|
|
Style Transfer (F16)
|
100% |
1050
1.38 IPS |
|
|
Style Transfer (I8)
|
100% |
1051
1.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
418
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
417
14.9 IPS |
|
|
Text Classification (F32)
|
100% |
155
222.1 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.2 IPS |
|
|
Text Classification (I8)
|
96% |
202
289.8 IPS |
|
|
Machine Translation (F32)
|
100% |
282
5.19 IPS |
|
|
Machine Translation (F16)
|
100% |
222
4.09 IPS |
|
|
Machine Translation (I8)
|
99% |
278
5.12 IPS |
