iPhone 11 Pro Max
Geekbench AI Score
1501
Single Precision Score
3007
Half Precision Score
2444
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 11:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
625
116.2 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (Q)
|
96% |
940
175.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1347
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5196
6.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
4522
5.30 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
97% |
1557
124.0 IPS |
|
|
Object Detection (Q)
|
94% |
1118
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1753
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2747
21.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5767
44.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4056
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6644
8.54 IPS |
|
|
Style Transfer (HP)
|
100% |
14095
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11662
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1965
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2166
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
2135
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2128
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3130
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3110
53.7 IPS |
