iPhone 11 Pro Max
Geekbench AI Score
1553
Single Precision Score
3034
Half Precision Score
2491
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:39 PM |
| Views | 4 |
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% |
637
118.5 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1347
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3102
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
6162
7.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
5209
6.11 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
97% |
1563
124.5 IPS |
|
|
Object Detection (Q)
|
94% |
1143
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1782
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2812
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5485
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4022
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6589
8.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14287
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11920
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2005
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3158
54.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3148
54.4 IPS |
