iPhone 11 Pro Max
Geekbench AI Score
1679
Single Precision Score
3084
Half Precision Score
2581
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 01:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.5 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3668
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6728
7.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
5971
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (HP)
|
97% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1837
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3028
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5549
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4129
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7504
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
14595
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12455
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2057
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2205
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3228
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3327
57.5 IPS |
