iPhone 11 Pro Max
Geekbench AI Score
1169
Single Precision Score
2152
Half Precision Score
1755
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 04:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
757
140.7 IPS |
|
|
Image Classification (HP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1345
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4357
5.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
3707
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
97% |
1216
96.8 IPS |
|
|
Object Detection (Q)
|
94% |
597
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1225
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
4696
36.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
2825
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4341
5.58 IPS |
|
|
Style Transfer (HP)
|
100% |
6357
8.17 IPS |
|
|
Style Transfer (Q)
|
96% |
7850
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2203
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1437
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (Q)
|
93% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1516
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1857
32.1 IPS |
