iPhone 11 Pro Max
Geekbench AI Score
1511
Single Precision Score
2954
Half Precision Score
2476
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
639
118.8 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.0 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1346
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
5090
5.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
4784
5.61 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
97% |
1526
121.5 IPS |
|
|
Object Detection (Q)
|
94% |
1143
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1787
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2431
18.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5479
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4024
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6589
8.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14251
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11929
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2534
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2057
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2187
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3085
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3126
54.0 IPS |
