iPhone 8 Plus
Geekbench ML Score
307
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:40 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
191
35.8 IPS |
|
|
Image Classification (F16)
|
100% |
175
32.7 IPS |
|
|
Image Classification (I8)
|
99% |
167
31.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
161
2.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
162
2.71 IPS |
|
|
Image Segmentation (I8)
|
100% |
160
2.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
547
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
546
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
541
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
174
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
168
12.5 IPS |
|
|
Object Detection (I8)
|
97% |
175
13.1 IPS |
|
|
Face Detection (F32)
|
100% |
413
4.91 IPS |
|
|
Face Detection (F16)
|
100% |
412
4.90 IPS |
|
|
Face Detection (I8)
|
99% |
408
4.85 IPS |
|
|
Depth Estimation (F32)
|
100% |
429
3.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
407
3.16 IPS |
|
|
Depth Estimation (I8)
|
99% |
406
3.15 IPS |
|
|
Style Transfer (F32)
|
100% |
1027
1.35 IPS |
|
|
Style Transfer (F16)
|
100% |
1035
1.36 IPS |
|
|
Style Transfer (I8)
|
100% |
1039
1.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
324
11.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
323
11.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
326
11.6 IPS |
|
|
Text Classification (F32)
|
100% |
157
225.6 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.6 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.2 IPS |
|
|
Machine Translation (F32)
|
100% |
283
5.22 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.32 IPS |
|
|
Machine Translation (I8)
|
99% |
278
5.12 IPS |
