iPhone 11 Pro Max
Geekbench AI Score
1671
Single Precision Score
3058
Half Precision Score
2562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 04:07 PM |
| Views | 2 |
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% |
800
148.8 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1366
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3678
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6721
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5967
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1582
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1836
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3038
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5539
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4139
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7644
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
14623
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12451
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2028
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3073
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3174
54.8 IPS |
