iPhone 8 Plus
Geekbench ML Score
624
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2025 07:18 AM |
| Views | 4 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
153
28.5 IPS |
|
|
Image Classification (I8)
|
99% |
150
28.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2297
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2632
3.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
2631
3.19 IPS |
|
|
Object Detection (F32)
|
100% |
304
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
285
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
970
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
937
11.1 IPS |
|
|
Face Detection (I8)
|
99% |
1005
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2264
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2493
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2333
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4378
5.76 IPS |
|
|
Style Transfer (F16)
|
100% |
4831
6.35 IPS |
|
|
Style Transfer (I8)
|
100% |
4767
6.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
947
33.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1079
38.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1047
37.4 IPS |
|
|
Text Classification (F32)
|
100% |
48
68.8 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.2 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.1 IPS |
|
|
Machine Translation (F32)
|
100% |
316
5.81 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.46 IPS |
|
|
Machine Translation (I8)
|
99% |
316
5.82 IPS |
