iPhone 13 Pro Max
Geekbench AI Score
3956
Single Precision Score
4509
Half Precision Score
4240
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 04:45 AM |
| Views | 3 |
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% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
1646
306.2 IPS |
|
|
Image Classification (Q)
|
96% |
1681
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2958
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2798
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11255
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12774
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12311
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (Q)
|
92% |
1815
144.8 IPS |
|
|
Face Detection (SP)
|
100% |
4723
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
6382
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
5050
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8724
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9363
72.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8297
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18591
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23487
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22538
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4846
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4235
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4122
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1086
18.8 IPS |
