iPhone 13 Pro Max
Geekbench AI Score
4028
Single Precision Score
4522
Half Precision Score
4271
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 26 2025 02:28 PM |
| Views | 4 |
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% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.6 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2793
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11182
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12731
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12339
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (HP)
|
100% |
1979
156.9 IPS |
|
|
Object Detection (Q)
|
92% |
1875
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
4916
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
6242
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
4966
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8529
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9365
72.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8504
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23543
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23139
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5006
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4186
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4144
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1032
17.8 IPS |
