iPhone 13 Pro Max
Geekbench AI Score
3955
Single Precision Score
4405
Half Precision Score
4240
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | antoniordo |
| Upload Date | September 28 2025 08:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2773
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11331
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12718
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12310
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.1 IPS |
|
|
Object Detection (HP)
|
100% |
1975
156.6 IPS |
|
|
Object Detection (Q)
|
92% |
1849
147.6 IPS |
|
|
Face Detection (SP)
|
100% |
4863
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
5021
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8544
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9204
70.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8580
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18863
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23588
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23114
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5117
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4128
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
995
17.2 IPS |
