iPhone 11 Pro Max
Geekbench AI Score
1746
Single Precision Score
3157
Half Precision Score
2633
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 31 2026 10:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1464
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3677
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6723
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5951
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
97% |
1596
127.0 IPS |
|
|
Object Detection (Q)
|
94% |
1172
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1873
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3182
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5913
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4374
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7842
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14551
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12314
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2679
98.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2187
80.7 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2269
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3248
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3248
56.1 IPS |
