iPhone 11 Pro Max
Geekbench AI Score
1532
Single Precision Score
3023
Half Precision Score
2503
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
664
123.4 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1345
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
6093
7.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
5302
6.21 IPS |
|
|
Object Detection (SP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (HP)
|
97% |
1551
123.5 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1786
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2818
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5500
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
3998
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6586
8.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14244
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11921
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2056
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3139
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3151
54.5 IPS |
