iPhone 11 Pro Max
Geekbench AI Score
1652
Single Precision Score
3139
Half Precision Score
2618
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
725
134.8 IPS |
|
|
Image Classification (HP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1468
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3654
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6715
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5950
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (HP)
|
97% |
1593
126.8 IPS |
|
|
Object Detection (Q)
|
94% |
1172
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1876
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3059
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5919
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4375
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7815
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14478
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12376
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2758
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2198
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.77 KIPS |
|
|
Text Classification (HP)
|
99% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2084
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3263
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3266
56.4 IPS |
