iPhone 11 Pro Max
Geekbench AI Score
1687
Single Precision Score
3095
Half Precision Score
2592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
803
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1363
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3661
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6703
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
5952
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3018
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5522
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4127
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7526
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
14604
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12450
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2569
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2062
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3271
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3207
55.4 IPS |
