iPhone 11 Pro Max
Geekbench AI Score
1689
Single Precision Score
3095
Half Precision Score
2574
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 02:34 AM |
| 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% |
805
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6713
7.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
5963
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1843
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3037
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5545
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4145
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7737
9.95 IPS |
|
|
Style Transfer (HP)
|
100% |
14576
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12430
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3308
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3267
56.5 IPS |
