iPhone 13 Pro Max
Geekbench AI Score
4012
Single Precision Score
4511
Half Precision Score
4268
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 08:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
1644
305.7 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11333
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12695
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12326
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
1970
156.2 IPS |
|
|
Object Detection (Q)
|
92% |
1843
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
4979
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
6237
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
4902
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8543
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9224
71.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8486
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18675
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23766
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23143
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4473
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
2590
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4141
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4127
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1103
19.1 IPS |
