iPhone 11 Pro Max
Geekbench AI Score
1149
Single Precision Score
2396
Half Precision Score
1836
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 04:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
1061
197.4 IPS |
|
|
Image Classification (Q)
|
96% |
960
179.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1702
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4263
4.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
3798
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
97% |
1210
96.3 IPS |
|
|
Object Detection (Q)
|
94% |
824
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (Q)
|
100% |
1387
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1827
14.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
3843
29.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1968
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4070
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
10903
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
7529
9.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1549
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.9 IPS |
|
|
Text Classification (HP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (Q)
|
93% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3240
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3228
55.8 IPS |
