iPhone 11 Pro Max
Geekbench AI Score
1729
Single Precision Score
3131
Half Precision Score
2602
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 30 2025 12:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (Q)
|
96% |
969
181.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1464
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3521
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
5724
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1165
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1828
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3083
23.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5897
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4345
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7444
9.57 IPS |
|
|
Style Transfer (HP)
|
100% |
14238
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12287
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2172
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2274
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2263
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3127
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
