iPhone 11 Pro Max
Geekbench AI Score
1654
Single Precision Score
3075
Half Precision Score
2541
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:41 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% |
806
149.8 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.6 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3627
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6640
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5679
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
1587
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1818
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2971
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5493
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4118
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6925
8.90 IPS |
|
|
Style Transfer (HP)
|
100% |
14421
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12044
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2058
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3155
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3169
54.8 IPS |
