iPhone 15 Pro Max
Geekbench AI Score
3795
Single Precision Score
6914
Half Precision Score
5666
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 04:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.9 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7640
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16670
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14093
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6716
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3832
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6734
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12562
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8928
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21029
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33628
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27799
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4374
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7327
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7218
124.7 IPS |
