iPhone 11 Pro Max
Geekbench AI Score
1224
Single Precision Score
3480
Half Precision Score
727
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ShortKick |
| Upload Date | September 24 2025 02:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
568
105.6 IPS |
|
|
Image Classification (HP)
|
100% |
2710
504.0 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
301
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
28537
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3353
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7035
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
392
4.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1951
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24042
185.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1034
8.08 IPS |
|
|
Style Transfer (SP)
|
100% |
5484
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
10469
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4522
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
604
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
468
624.3 IPS |
|
|
Text Classification (Q)
|
93% |
468
627.8 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1016
17.6 IPS |
