iPhone 11 Pro Max
Geekbench AI Score
1170
Single Precision Score
2244
Half Precision Score
1895
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:14 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% |
779
144.9 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (Q)
|
96% |
852
159.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
959
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2545
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4941
5.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
3846
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
97% |
1546
123.1 IPS |
|
|
Object Detection (Q)
|
94% |
991
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
1325
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (Q)
|
100% |
1529
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2256
17.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
3293
25.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
3086
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4399
5.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6111
7.86 IPS |
|
|
Style Transfer (Q)
|
96% |
7817
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1387
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
722
964.0 IPS |
|
|
Text Classification (HP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1203
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2010
34.7 IPS |
