iPhone 11 Pro Max
Geekbench AI Score
1662
Single Precision Score
3071
Half Precision Score
2554
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 03:46 PM |
| Views | 1 |
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% |
800
148.7 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1363
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3640
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6632
7.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
5890
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1821
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2977
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5540
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4128
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7413
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
14527
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12449
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1823
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2596
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3094
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3081
53.2 IPS |
