iPhone 11 Pro Max
Geekbench AI Score
1770
Single Precision Score
3174
Half Precision Score
2635
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ShortKick |
| Upload Date | September 24 2025 02:14 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% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.5 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3688
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6711
7.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
5960
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1683
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1874
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3154
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5912
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4370
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7840
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14651
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12343
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2191
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
99% |
2228
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2217
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3270
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3317
57.3 IPS |
