iPhone 8 Plus
Geekbench ML Score
630
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 25 2025 11:03 AM |
| Views | 2 |
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% |
179
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
152
28.5 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
3.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
205
3.42 IPS |
|
|
Image Segmentation (I8)
|
100% |
205
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
2311
2.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
2667
3.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
2572
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
356
26.6 IPS |
|
|
Object Detection (F16)
|
100% |
285
21.3 IPS |
|
|
Object Detection (I8)
|
97% |
294
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
950
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
984
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
839
9.98 IPS |
|
|
Depth Estimation (F32)
|
100% |
2197
17.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2370
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2428
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4620
6.08 IPS |
|
|
Style Transfer (F16)
|
100% |
5011
6.59 IPS |
|
|
Style Transfer (I8)
|
100% |
4842
6.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
994
35.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1013
36.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1250
44.6 IPS |
|
|
Text Classification (F32)
|
100% |
47
68.1 IPS |
|
|
Text Classification (F16)
|
100% |
200
288.1 IPS |
|
|
Text Classification (I8)
|
96% |
197
282.8 IPS |
|
|
Machine Translation (F32)
|
100% |
319
5.87 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (I8)
|
99% |
316
5.82 IPS |
