iPhone 11 Pro Max
Geekbench ML Score
1722
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 19 2024 07:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| 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 | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
275
51.5 IPS |
|
|
Image Classification (F16)
|
100% |
2684
502.2 IPS |
|
|
Image Classification (I8)
|
99% |
2671
499.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
220
3.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
330
5.52 IPS |
|
|
Image Segmentation (I8)
|
100% |
330
5.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
2259
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
25654
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25016
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
461
34.4 IPS |
|
|
Object Detection (F16)
|
100% |
1140
85.1 IPS |
|
|
Object Detection (I8)
|
97% |
480
35.8 IPS |
|
|
Face Detection (F32)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
4904
58.3 IPS |
|
|
Face Detection (I8)
|
96% |
4912
58.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2474
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
21492
166.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
21141
164.0 IPS |
|
|
Style Transfer (F32)
|
24% |
5892
7.75 IPS |
|
|
Style Transfer (F16)
|
100% |
18005
23.7 IPS |
|
|
Style Transfer (I8)
|
100% |
18280
24.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
992
35.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4798
171.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4770
170.4 IPS |
|
|
Text Classification (F32)
|
100% |
236
339.5 IPS |
|
|
Text Classification (F16)
|
100% |
310
445.9 IPS |
|
|
Text Classification (I8)
|
96% |
309
443.4 IPS |
|
|
Machine Translation (F32)
|
100% |
225
4.13 IPS |
|
|
Machine Translation (F16)
|
100% |
219
4.03 IPS |
|
|
Machine Translation (I8)
|
99% |
224
4.13 IPS |
