iPhone 11 Pro Max
Geekbench AI Score
1103
Single Precision Score
1961
Half Precision Score
1683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 02:15 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% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (Q)
|
96% |
787
147.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2157
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4332
5.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
2493
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
97% |
591
47.1 IPS |
|
|
Object Detection (Q)
|
94% |
738
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (Q)
|
100% |
1400
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2040
15.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
4950
38.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
2768
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3890
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
7713
9.92 IPS |
|
|
Style Transfer (Q)
|
96% |
5432
7.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1273
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2128
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
1953
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2672
46.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2879
49.8 IPS |
