iPhone 11 Pro Max
Geekbench AI Score
1151
Single Precision Score
3563
Half Precision Score
707
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 05:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
548
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
2763
513.8 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
309
5.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
28610
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3536
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (Q)
|
94% |
288
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7227
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1862
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25438
196.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
930
7.26 IPS |
|
|
Style Transfer (SP)
|
100% |
4530
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
9661
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4066
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4193
154.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
559
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.5 IPS |
|
|
Text Classification (Q)
|
93% |
457
612.9 IPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
983
17.0 IPS |
