iPhone 11 Pro Max
Geekbench AI Score
1658
Single Precision Score
3081
Half Precision Score
2565
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 05:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1366
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6699
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
5942
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1576
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1825
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3003
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5534
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4129
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6623
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
14433
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12280
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2059
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2174
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3271
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3235
55.9 IPS |
