iPhone 11 Pro Max
Geekbench AI Score
1431
Single Precision Score
2751
Half Precision Score
2276
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 09:46 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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1464
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3690
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6606
7.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
5888
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (HP)
|
97% |
1614
128.5 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (Q)
|
100% |
1754
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2148
16.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
4755
36.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3323
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5351
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
10452
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
9251
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1621
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
2284
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1972
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1941
33.5 IPS |
