iPhone 8 Plus
Geekbench ML Score
390
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:28 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.0 IPS |
|
|
Image Classification (I8)
|
99% |
212
39.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
196
3.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
196
3.28 IPS |
|
|
Image Segmentation (I8)
|
100% |
192
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
889
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
880
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
889
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
243
18.1 IPS |
|
|
Object Detection (F16)
|
100% |
224
16.7 IPS |
|
|
Object Detection (I8)
|
97% |
248
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
449
5.33 IPS |
|
|
Face Detection (F16)
|
100% |
395
4.69 IPS |
|
|
Face Detection (I8)
|
99% |
434
5.16 IPS |
|
|
Depth Estimation (F32)
|
100% |
564
4.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
522
4.05 IPS |
|
|
Depth Estimation (I8)
|
99% |
522
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1448
1.90 IPS |
|
|
Style Transfer (F16)
|
100% |
1381
1.82 IPS |
|
|
Style Transfer (I8)
|
100% |
1387
1.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
508
18.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
508
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.6 IPS |
|
|
Text Classification (F16)
|
100% |
215
309.2 IPS |
|
|
Text Classification (I8)
|
96% |
214
306.9 IPS |
|
|
Machine Translation (F32)
|
100% |
316
5.82 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
286
5.26 IPS |
