iPhone 11
Geekbench ML Score
1742
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 09:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
276
51.7 IPS |
|
|
Image Classification (F16)
|
100% |
2698
504.9 IPS |
|
|
Image Classification (I8)
|
99% |
2690
503.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
229
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
332
5.55 IPS |
|
|
Image Segmentation (I8)
|
100% |
333
5.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
2260
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
26050
31.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
26033
31.5 IPS |
|
|
Object Detection (F32)
|
100% |
556
41.5 IPS |
|
|
Object Detection (F16)
|
100% |
1148
85.7 IPS |
|
|
Object Detection (I8)
|
97% |
471
35.1 IPS |
|
|
Face Detection (F32)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (F16)
|
98% |
4574
54.4 IPS |
|
|
Face Detection (I8)
|
97% |
4831
57.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2519
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
21204
164.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
21319
165.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5908
7.77 IPS |
|
|
Style Transfer (F16)
|
100% |
18476
24.3 IPS |
|
|
Style Transfer (I8)
|
100% |
18225
24.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1102
39.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5143
183.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5301
189.3 IPS |
|
|
Text Classification (F32)
|
100% |
229
328.9 IPS |
|
|
Text Classification (F16)
|
100% |
297
427.0 IPS |
|
|
Text Classification (I8)
|
96% |
294
423.0 IPS |
|
|
Machine Translation (F32)
|
100% |
215
3.95 IPS |
|
|
Machine Translation (F16)
|
100% |
212
3.90 IPS |
|
|
Machine Translation (I8)
|
99% |
219
4.02 IPS |
