iPhone 11 Pro Max
Geekbench AI Score
1767
Single Precision Score
3146
Half Precision Score
2613
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (Q)
|
96% |
967
180.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6708
7.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
5977
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1169
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1855
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3142
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5893
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4370
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7754
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
14332
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12421
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2149
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3196
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3079
53.2 IPS |
