iPhone 11 Pro Max
Geekbench AI Score
1674
Single Precision Score
3088
Half Precision Score
2562
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 04:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
809
150.5 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3668
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6720
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5951
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
97% |
1582
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3003
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5539
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4131
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7464
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
14539
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12426
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1832
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2630
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2061
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2180
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3153
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3122
54.0 IPS |
