iPhone 11
Geekbench ML Score
1038
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 09:47 PM |
| Views | 8 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
289
54.0 IPS |
|
|
Image Classification (F16)
|
100% |
344
64.3 IPS |
|
|
Image Classification (I8)
|
99% |
354
66.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
305
5.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
339
5.66 IPS |
|
|
Image Segmentation (I8)
|
100% |
335
5.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
2279
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
3147
3.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
3125
3.78 IPS |
|
|
Object Detection (F32)
|
100% |
494
36.8 IPS |
|
|
Object Detection (F16)
|
100% |
562
41.9 IPS |
|
|
Object Detection (I8)
|
97% |
602
45.0 IPS |
|
|
Face Detection (F32)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (F16)
|
97% |
3254
38.7 IPS |
|
|
Face Detection (I8)
|
96% |
3326
39.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2550
19.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3474
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3542
27.5 IPS |
|
|
Style Transfer (F32)
|
24% |
5978
7.86 IPS |
|
|
Style Transfer (F16)
|
30% |
8953
11.8 IPS |
|
|
Style Transfer (I8)
|
30% |
8857
11.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1144
40.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1213
43.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1683
60.1 IPS |
|
|
Text Classification (F32)
|
100% |
247
354.9 IPS |
|
|
Text Classification (F16)
|
100% |
327
469.5 IPS |
|
|
Text Classification (I8)
|
96% |
330
473.6 IPS |
|
|
Machine Translation (F32)
|
100% |
302
5.56 IPS |
|
|
Machine Translation (F16)
|
100% |
297
5.46 IPS |
|
|
Machine Translation (I8)
|
99% |
298
5.49 IPS |
