iPhone 13 Pro Max
Geekbench AI Score
4004
Single Precision Score
4554
Half Precision Score
4392
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | December 01 2025 01:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1713
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.3 IPS |
|
|
Image Classification (Q)
|
96% |
1650
308.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2827
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11427
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12968
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12587
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (Q)
|
92% |
1832
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
6232
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
4948
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9282
71.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8541
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18773
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23947
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23308
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4672
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4269
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4434
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1219
21.1 IPS |
