iPhone 11 Pro Max
Geekbench AI Score
1601
Single Precision Score
3048
Half Precision Score
2523
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 07 2025 04:13 PM |
| Views | 2 |
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% |
705
131.1 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1360
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3338
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6413
7.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
5735
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (HP)
|
97% |
1580
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1805
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2867
22.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5504
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4019
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6584
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
14271
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11913
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2005
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3145
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3154
54.5 IPS |
