iPhone 11 Pro Max
Geekbench ML Score
2029
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 27 2024 12:51 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
721
135.0 IPS |
|
|
Image Classification (F16)
|
100% |
1362
254.9 IPS |
|
|
Image Classification (I8)
|
99% |
1359
254.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
440
7.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
569
9.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
559
9.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
3516
4.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
6367
7.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
6391
7.74 IPS |
|
|
Object Detection (F32)
|
100% |
703
52.4 IPS |
|
|
Object Detection (F16)
|
100% |
1352
100.9 IPS |
|
|
Object Detection (I8)
|
97% |
707
52.8 IPS |
|
|
Face Detection (F32)
|
100% |
1611
19.2 IPS |
|
|
Face Detection (F16)
|
97% |
3121
37.1 IPS |
|
|
Face Detection (I8)
|
97% |
3125
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3181
24.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5942
46.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
5934
46.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7723
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13919
18.3 IPS |
|
|
Style Transfer (I8)
|
100% |
13278
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2106
75.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2848
101.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2855
102.0 IPS |
|
|
Text Classification (F32)
|
100% |
1203
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
2040
2.93 KIPS |
|
|
Text Classification (I8)
|
96% |
2233
3.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
631
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
952
17.5 IPS |
|
|
Machine Translation (I8)
|
99% |
650
12.0 IPS |
