iPhone 13 Pro Max
Geekbench AI Score
3146
Single Precision Score
5804
Half Precision Score
4725
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 09:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
2403
446.9 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2458
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14494
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12262
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2753
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
1983
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5690
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3231
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5215
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10644
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7460
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17203
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27525
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22961
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3684
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6759
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6672
115.3 IPS |
