iPhone 11 Pro Max
Geekbench AI Score
1119
Single Precision Score
3440
Half Precision Score
693
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
2703
502.7 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
305
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
27828
32.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3074
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (Q)
|
94% |
268
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
403
4.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
1822
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21610
166.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
973
7.60 IPS |
|
|
Style Transfer (SP)
|
100% |
4789
6.16 IPS |
|
|
Style Transfer (HP)
|
100% |
10410
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4241
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
583
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.0 IPS |
|
|
Text Classification (HP)
|
100% |
424
566.3 IPS |
|
|
Text Classification (Q)
|
93% |
421
565.4 IPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
912
15.8 IPS |
