iPhone 11 Pro
Geekbench ML Score
1553
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 08:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
282
52.8 IPS |
|
|
Image Classification (F16)
|
100% |
792
148.3 IPS |
|
|
Image Classification (I8)
|
99% |
1690
316.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
253
4.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
4.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
325
5.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
1719
2.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
20097
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
20220
24.5 IPS |
|
|
Object Detection (F32)
|
100% |
575
43.0 IPS |
|
|
Object Detection (F16)
|
100% |
986
73.6 IPS |
|
|
Object Detection (I8)
|
97% |
574
42.9 IPS |
|
|
Face Detection (F32)
|
100% |
2311
27.5 IPS |
|
|
Face Detection (F16)
|
97% |
4699
55.9 IPS |
|
|
Face Detection (I8)
|
96% |
5145
61.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2096
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17723
137.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
15704
121.8 IPS |
|
|
Style Transfer (F32)
|
24% |
4896
6.44 IPS |
|
|
Style Transfer (F16)
|
100% |
16362
21.5 IPS |
|
|
Style Transfer (I8)
|
100% |
16636
21.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1001
35.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4119
147.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4125
147.3 IPS |
|
|
Text Classification (F32)
|
100% |
229
329.6 IPS |
|
|
Text Classification (F16)
|
100% |
273
392.1 IPS |
|
|
Text Classification (I8)
|
96% |
259
372.2 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.83 IPS |
|
|
Machine Translation (F16)
|
100% |
237
4.36 IPS |
|
|
Machine Translation (I8)
|
99% |
293
5.39 IPS |
