iPhone 11 Pro Max
Geekbench AI Score
1611
Single Precision Score
2683
Half Precision Score
2316
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 29 2025 03:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
765
142.2 IPS |
|
|
Image Classification (HP)
|
100% |
1131
210.4 IPS |
|
|
Image Classification (Q)
|
96% |
860
160.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1081
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6629
7.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
5835
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1320
105.1 IPS |
|
|
Object Detection (Q)
|
94% |
1006
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1627
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2939
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
4878
37.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3756
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7240
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
13603
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11698
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2112
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2316
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2323
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2335
40.4 IPS |
