iPhone 8 Plus
Geekbench ML Score
371
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 25 2025 10:37 AM |
| Views | 1 |
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% |
231
43.2 IPS |
|
|
Image Classification (F16)
|
100% |
208
38.9 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
3.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.25 IPS |
|
|
Image Segmentation (I8)
|
100% |
194
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
1030
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
877
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
883
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
189
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
184
13.7 IPS |
|
|
Object Detection (I8)
|
97% |
232
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.28 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.17 IPS |
|
|
Face Detection (I8)
|
99% |
431
5.13 IPS |
|
|
Depth Estimation (F32)
|
100% |
565
4.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
429
3.32 IPS |
|
|
Style Transfer (F32)
|
100% |
1372
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
1227
1.61 IPS |
|
|
Style Transfer (I8)
|
100% |
1283
1.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
499
17.8 IPS |
|
|
Text Classification (F32)
|
100% |
205
294.4 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.3 IPS |
|
|
Text Classification (I8)
|
96% |
214
307.2 IPS |
|
|
Machine Translation (F32)
|
100% |
298
5.48 IPS |
|
|
Machine Translation (F16)
|
100% |
224
4.11 IPS |
|
|
Machine Translation (I8)
|
99% |
273
5.03 IPS |
