iPhone 11 Pro Max
Geekbench AI Score
1134
Single Precision Score
2224
Half Precision Score
1799
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
773
143.7 IPS |
|
|
Image Classification (HP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (Q)
|
96% |
969
181.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
970
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5121
5.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
4357
5.11 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
97% |
1356
107.9 IPS |
|
|
Object Detection (Q)
|
94% |
948
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (Q)
|
100% |
1044
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2011
15.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
3769
29.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
2034
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4134
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
9391
12.1 IPS |
|
|
Style Transfer (Q)
|
96% |
8204
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1398
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.0 IPS |
|
|
Text Classification (HP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (Q)
|
93% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (HP)
|
98% |
1994
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2710
46.8 IPS |
