iPhone 11 Pro Max
Geekbench AI Score
1740
Single Precision Score
3134
Half Precision Score
2641
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 15 2026 04:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
795
147.9 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6711
7.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
5941
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1853
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3225
24.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5955
46.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4377
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7945
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14487
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12374
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2204
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2252
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2249
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3010
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3347
57.8 IPS |
