iPhone 11 Pro Max
Geekbench AI Score
1087
Single Precision Score
1958
Half Precision Score
1723
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 02:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
760
141.3 IPS |
|
|
Image Classification (Q)
|
96% |
585
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
805
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1583
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3738
4.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
3564
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
97% |
884
70.4 IPS |
|
|
Object Detection (Q)
|
94% |
692
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (Q)
|
100% |
1129
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1463
11.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
2425
18.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3142
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5399
6.94 IPS |
|
|
Style Transfer (HP)
|
100% |
10587
13.6 IPS |
|
|
Style Transfer (Q)
|
96% |
8606
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1445
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1553
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
2255
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2252
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2868
49.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1870
32.3 IPS |
