iPhone 11 Pro Max
Geekbench AI Score
1656
Single Precision Score
3066
Half Precision Score
2554
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 05:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.5 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6694
7.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
5885
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
97% |
1580
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1823
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2998
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5534
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4133
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7451
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
14505
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12444
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3088
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3121
53.9 IPS |
