iPhone 11 Pro Max
Geekbench AI Score
1378
Single Precision Score
2282
Half Precision Score
1929
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 02:12 PM |
| Views | 1 |
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% |
701
130.3 IPS |
|
|
Image Classification (HP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (Q)
|
96% |
966
180.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1092
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3754
4.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
4549
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1071
85.3 IPS |
|
|
Object Detection (Q)
|
94% |
1013
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
1490
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (Q)
|
100% |
1616
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2956
22.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3640
28.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
2642
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5894
7.58 IPS |
|
|
Style Transfer (HP)
|
100% |
11609
14.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11311
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1346
49.7 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.1 IPS |
|
|
Text Classification (HP)
|
99% |
1509
2.01 KIPS |
|
|
Text Classification (Q)
|
93% |
1345
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2525
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1681
29.1 IPS |
