iPhone 11 Pro Max
Geekbench ML Score
1848
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 12 2024 06:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
745
139.4 IPS |
|
|
Image Classification (F16)
|
100% |
1129
211.3 IPS |
|
|
Image Classification (I8)
|
99% |
1130
211.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
407
6.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
7.17 IPS |
|
|
Image Segmentation (I8)
|
100% |
431
7.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
3364
4.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
6494
7.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
6360
7.70 IPS |
|
|
Object Detection (F32)
|
100% |
674
50.3 IPS |
|
|
Object Detection (F16)
|
100% |
1189
88.7 IPS |
|
|
Object Detection (I8)
|
97% |
666
49.7 IPS |
|
|
Face Detection (F32)
|
100% |
1359
16.2 IPS |
|
|
Face Detection (F16)
|
97% |
2551
30.3 IPS |
|
|
Face Detection (I8)
|
97% |
2552
30.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2919
22.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4887
37.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4867
37.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7265
9.56 IPS |
|
|
Style Transfer (F16)
|
100% |
13255
17.4 IPS |
|
|
Style Transfer (I8)
|
100% |
13305
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2091
74.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2796
99.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2759
98.5 IPS |
|
|
Text Classification (F32)
|
100% |
1316
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1886
2.71 KIPS |
|
|
Text Classification (I8)
|
96% |
1840
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
613
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (I8)
|
99% |
612
11.3 IPS |
