iPhone 11 Pro Max
Geekbench AI Score
1658
Single Precision Score
3068
Half Precision Score
2556
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6586
7.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
5897
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1152
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1819
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2949
22.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5510
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4113
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7368
9.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14418
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12371
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2563
94.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2060
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2202
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3206
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3140
54.3 IPS |
