iPhone 11 Pro Max
Geekbench AI Score
1545
Single Precision Score
2961
Half Precision Score
2457
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:39 PM |
| Views | 1 |
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% |
745
138.6 IPS |
|
|
Image Classification (HP)
|
100% |
1310
243.7 IPS |
|
|
Image Classification (Q)
|
96% |
960
179.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1346
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2602
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5382
6.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
4765
5.59 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
97% |
1545
123.0 IPS |
|
|
Object Detection (Q)
|
94% |
1130
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
1527
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1775
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2799
21.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5435
42.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
3999
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6584
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
14257
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11913
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2577
95.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2003
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3136
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3117
53.9 IPS |
