iPhone 13 Pro Max
Geekbench AI Score
3172
Single Precision Score
5811
Half Precision Score
4752
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.5 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6178
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14758
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12542
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
97% |
2765
220.1 IPS |
|
|
Object Detection (Q)
|
94% |
1983
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5748
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3240
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5228
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10604
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7473
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17419
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27693
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23036
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4152
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6725
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6698
115.8 IPS |
