iPhone 13 Pro Max
Geekbench AI Score
3148
Single Precision Score
5792
Half Precision Score
4717
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 09:31 PM |
| Views | 6 |
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% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.2 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2455
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6100
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14525
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12128
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
2760
219.8 IPS |
|
|
Object Detection (Q)
|
94% |
1980
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5699
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3222
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5198
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10712
82.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7469
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17089
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27614
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22780
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3699
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4117
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6699
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6639
114.7 IPS |
