iPhone 11 Pro Max
Geekbench AI Score
1738
Single Precision Score
3117
Half Precision Score
2582
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:18 PM |
| Views | 1 |
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% |
798
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
854
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1456
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3578
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
5795
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1163
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1844
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3077
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5875
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4326
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7445
9.57 IPS |
|
|
Style Transfer (HP)
|
100% |
14022
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11587
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2141
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2269
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2244
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3089
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3092
53.4 IPS |
