iPhone 13 Pro Max
Geekbench AI Score
3126
Single Precision Score
5748
Half Precision Score
4694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | antoniordo |
| Upload Date | September 28 2025 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.6 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5981
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14193
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12248
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
97% |
2727
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
1957
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5605
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3170
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10683
82.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7499
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16850
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27055
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22341
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6682
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6534
112.9 IPS |
