iPhone 11 Pro Max
Geekbench AI Score
1569
Single Precision Score
2971
Half Precision Score
2477
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:09 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% |
766
142.4 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1340
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2802
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5576
6.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
4934
5.78 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
97% |
1534
122.1 IPS |
|
|
Object Detection (Q)
|
94% |
1147
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1788
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2821
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5199
40.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4018
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6609
8.50 IPS |
|
|
Style Transfer (HP)
|
100% |
14258
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11952
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2007
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3145
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3142
54.3 IPS |
