iPhone 13 Pro Max
Geekbench AI Score
4039
Single Precision Score
4489
Half Precision Score
4275
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:37 PM |
| 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% |
1683
313.0 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.2 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2739
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11345
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12699
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12477
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (Q)
|
92% |
1848
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
4849
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
6109
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
5046
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8555
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9247
71.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8474
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18758
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23520
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23057
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4433
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1081
18.7 IPS |
