iPhone 11 Pro Max
Geekbench AI Score
1608
Single Precision Score
3051
Half Precision Score
2515
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1359
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
5633
6.60 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
97% |
1563
124.5 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1809
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2888
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5505
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4036
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6586
8.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14256
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11939
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2007
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2179
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3134
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3110
53.7 IPS |
