iPhone 11 Pro Max
Geekbench AI Score
1746
Single Precision Score
3159
Half Precision Score
2631
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 03:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3662
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
5919
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (HP)
|
97% |
1595
127.0 IPS |
|
|
Object Detection (Q)
|
94% |
1174
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1683
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1866
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5941
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4368
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7727
9.93 IPS |
|
|
Style Transfer (HP)
|
100% |
14458
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12339
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2731
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2182
80.6 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2233
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3273
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3284
56.7 IPS |
