iPhone 11 Pro Max
Geekbench AI Score
1737
Single Precision Score
3148
Half Precision Score
2612
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 10:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
802
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (Q)
|
96% |
966
180.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3684
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6717
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5932
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1167
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1875
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3159
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5878
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4365
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7833
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14526
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12371
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2196
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2243
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3306
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3019
52.2 IPS |
