iPhone 8 Plus
Geekbench ML Score
361
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 18 2026 07:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.15 |
| 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% |
234
43.7 IPS |
|
|
Image Classification (F16)
|
100% |
212
39.6 IPS |
|
|
Image Classification (I8)
|
99% |
211
39.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
194
3.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
976
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
876
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
872
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
170
12.7 IPS |
|
|
Object Detection (F16)
|
100% |
173
12.9 IPS |
|
|
Object Detection (I8)
|
97% |
191
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
391
4.65 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.17 IPS |
|
|
Face Detection (I8)
|
99% |
425
5.05 IPS |
|
|
Depth Estimation (F32)
|
100% |
552
4.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
432
3.35 IPS |
|
|
Depth Estimation (I8)
|
99% |
426
3.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1178
1.55 IPS |
|
|
Style Transfer (F16)
|
100% |
1086
1.43 IPS |
|
|
Style Transfer (I8)
|
100% |
1079
1.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
418
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
507
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.1 IPS |
|
|
Text Classification (F16)
|
100% |
202
291.0 IPS |
|
|
Text Classification (I8)
|
96% |
213
306.6 IPS |
|
|
Machine Translation (F32)
|
100% |
299
5.50 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.39 IPS |
|
|
Machine Translation (I8)
|
99% |
298
5.48 IPS |
