iPhone 11
Geekbench ML Score
1895
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 09:41 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
300
56.1 IPS |
|
|
Image Classification (F16)
|
100% |
2712
507.4 IPS |
|
|
Image Classification (I8)
|
99% |
2697
504.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
306
5.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
494
8.25 IPS |
|
|
Image Segmentation (I8)
|
100% |
484
8.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
2276
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
25792
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
26459
32.0 IPS |
|
|
Object Detection (F32)
|
100% |
514
38.4 IPS |
|
|
Object Detection (F16)
|
100% |
1209
90.3 IPS |
|
|
Object Detection (I8)
|
97% |
569
42.5 IPS |
|
|
Face Detection (F32)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (F16)
|
97% |
5256
62.5 IPS |
|
|
Face Detection (I8)
|
96% |
5068
60.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2478
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
23106
179.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
21787
169.0 IPS |
|
|
Style Transfer (F32)
|
24% |
6058
7.97 IPS |
|
|
Style Transfer (F16)
|
100% |
18109
23.8 IPS |
|
|
Style Transfer (I8)
|
100% |
18093
23.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1008
36.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5233
186.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5149
183.9 IPS |
|
|
Text Classification (F32)
|
100% |
244
351.1 IPS |
|
|
Text Classification (F16)
|
100% |
328
471.4 IPS |
|
|
Text Classification (I8)
|
96% |
329
473.2 IPS |
|
|
Machine Translation (F32)
|
100% |
294
5.41 IPS |
|
|
Machine Translation (F16)
|
100% |
236
4.35 IPS |
|
|
Machine Translation (I8)
|
99% |
301
5.54 IPS |
