iPhone 11 Pro Max
Geekbench AI Score
1644
Single Precision Score
3064
Half Precision Score
2535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
1376
256.0 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1357
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3632
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5928
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1592
126.8 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1826
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2971
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5373
41.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4009
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6550
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
14275
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11929
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2003
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3119
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3163
54.7 IPS |
