iPhone 11 Pro Max
Geekbench AI Score
1686
Single Precision Score
3085
Half Precision Score
2570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
804
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6715
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5970
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1582
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1832
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3027
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5473
42.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4093
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7540
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
14606
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12456
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2059
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3238
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3230
55.8 IPS |
