iPhone 11 Pro Max
Geekbench AI Score
1737
Single Precision Score
3156
Half Precision Score
2614
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | flintlock1 |
| Upload Date | September 26 2025 07:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1335
248.2 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1462
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3662
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6703
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
5983
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.8 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1169
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1679
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1868
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3144
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5885
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4366
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7887
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14543
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12343
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2717
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2194
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2229
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3298
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3058
52.8 IPS |
