iPhone 13 Pro Max
Geekbench AI Score
3101
Single Precision Score
5811
Half Precision Score
4659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 09:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.6 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6124
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14432
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12186
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2697
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5554
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3113
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5247
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10519
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7337
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17012
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28088
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22063
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2512
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3689
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4382
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4369
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6485
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6334
109.5 IPS |
