iPhone 11 Pro Max
Geekbench AI Score
1516
Single Precision Score
2989
Half Precision Score
2469
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 03:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1341
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2604
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
4780
5.60 IPS |
|
|
Object Detection (SP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (HP)
|
97% |
1570
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1141
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1789
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2809
21.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5505
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4035
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6605
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
14310
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11959
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2004
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2175
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3104
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3141
54.3 IPS |
