iPhone 11 Pro Max
Geekbench AI Score
1727
Single Precision Score
3133
Half Precision Score
2611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:23 PM |
| Views | 1 |
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% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
5872
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1847
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3089
23.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5846
45.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4352
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7417
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
14314
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12254
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2733
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2177
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2282
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3142
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3128
54.1 IPS |
