iPhone 13 Pro Max
Geekbench AI Score
3977
Single Precision Score
4417
Half Precision Score
4165
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | absolutzombie |
| Upload Date | November 22 2025 03:53 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.3 IPS |
|
|
Image Classification (Q)
|
96% |
1530
285.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2777
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11318
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12710
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12337
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1947
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (Q)
|
92% |
1815
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
6085
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
4883
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8507
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9243
71.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8425
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18364
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23445
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22882
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4949
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4386
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
