iPhone 11 Pro Max
Geekbench AI Score
1576
Single Precision Score
2689
Half Precision Score
2281
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 06:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (Q)
|
96% |
858
160.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1047
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
5602
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
97% |
1316
104.7 IPS |
|
|
Object Detection (Q)
|
94% |
1001
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1587
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2844
21.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
4861
37.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3686
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7247
9.32 IPS |
|
|
Style Transfer (HP)
|
100% |
13658
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11301
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2098
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2347
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2309
39.9 IPS |
