iPhone 11 Pro Max
Geekbench AI Score
915
Single Precision Score
1755
Half Precision Score
1487
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 01:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
356
66.3 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
96% |
476
88.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
760
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
3274
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
97% |
869
69.2 IPS |
|
|
Object Detection (Q)
|
94% |
646
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
922
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1059
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1661
12.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3350
25.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
2461
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4088
5.26 IPS |
|
|
Style Transfer (HP)
|
100% |
8016
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
7007
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1349
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
1551
2.07 KIPS |
|
|
Text Classification (Q)
|
93% |
1544
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1726
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1828
31.6 IPS |
