iPhone 11 Pro Max
Geekbench AI Score
1575
Single Precision Score
3060
Half Precision Score
2500
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 10 2025 05:44 AM |
| 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% |
732
136.2 IPS |
|
|
Image Classification (HP)
|
100% |
1335
248.2 IPS |
|
|
Image Classification (Q)
|
96% |
962
179.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1441
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
5482
6.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
4804
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1132
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1774
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2864
22.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5796
44.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4114
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6722
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
14089
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11584
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2798
103.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2141
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2253
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2263
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3077
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3096
53.5 IPS |
