iPhone 11 Pro Max
Geekbench AI Score
1231
Single Precision Score
3450
Half Precision Score
724
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 02:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
582
108.2 IPS |
|
|
Image Classification (HP)
|
100% |
2566
477.3 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
291
4.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
28446
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3124
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (Q)
|
94% |
280
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
7001
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
395
4.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
2040
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23870
183.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1072
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
5590
7.19 IPS |
|
|
Style Transfer (HP)
|
100% |
10896
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4640
5.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
602
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
467
623.5 IPS |
|
|
Text Classification (Q)
|
93% |
463
622.0 IPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.7 IPS |
