iPhone 8 Plus
Geekbench ML Score
418
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | rennsport |
| Upload Date | July 02 2025 08:33 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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% |
230
43.1 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.6 IPS |
|
|
Image Classification (I8)
|
99% |
213
39.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
999
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
999
1.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
999
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
245
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
232
17.3 IPS |
|
|
Object Detection (I8)
|
97% |
248
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
472
5.61 IPS |
|
|
Face Detection (I8)
|
99% |
472
5.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
611
4.74 IPS |
|
|
Depth Estimation (F16)
|
100% |
554
4.30 IPS |
|
|
Depth Estimation (I8)
|
99% |
526
4.08 IPS |
|
|
Style Transfer (F32)
|
100% |
1618
2.13 IPS |
|
|
Style Transfer (F16)
|
100% |
1580
2.08 IPS |
|
|
Style Transfer (I8)
|
100% |
1541
2.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
553
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
549
19.6 IPS |
|
|
Text Classification (F32)
|
100% |
245
351.6 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.5 IPS |
|
|
Text Classification (I8)
|
96% |
218
313.6 IPS |
|
|
Machine Translation (F32)
|
100% |
329
6.05 IPS |
|
|
Machine Translation (F16)
|
100% |
264
4.85 IPS |
|
|
Machine Translation (I8)
|
99% |
331
6.09 IPS |
