iPhone 11 Pro Max
Geekbench AI Score
1658
Single Precision Score
3058
Half Precision Score
2551
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:48 PM |
| Views | 7 |
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% |
815
151.6 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3611
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6608
7.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
5849
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1816
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2952
22.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5513
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4095
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7093
9.12 IPS |
|
|
Style Transfer (HP)
|
100% |
14294
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12397
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2529
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2019
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2174
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3137
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3159
54.6 IPS |
