iPhone 11 Pro Max
Geekbench AI Score
1529
Single Precision Score
2721
Half Precision Score
2327
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 26 2026 12:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
752
139.9 IPS |
|
|
Image Classification (HP)
|
100% |
1142
212.4 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1076
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3608
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6690
7.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
5851
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
97% |
1325
105.5 IPS |
|
|
Object Detection (Q)
|
94% |
1016
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (Q)
|
100% |
1650
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1834
14.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
4702
36.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
3532
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6508
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
13390
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11511
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2113
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2431
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2432
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2445
42.3 IPS |
