iPhone 11 Pro Max
Geekbench AI Score
1724
Single Precision Score
3105
Half Precision Score
2616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 07:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (Q)
|
96% |
964
180.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3582
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6705
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
5932
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.5 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1679
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1865
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3128
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5748
44.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4355
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7576
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
14407
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12321
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2147
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2236
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2226
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2979
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3216
55.6 IPS |
