iPhone 15 Pro Max
Geekbench AI Score
5022
Single Precision Score
6009
Half Precision Score
5738
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 23 2025 05:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1887
350.9 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3743
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4254
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4107
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13150
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15035
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14502
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (Q)
|
92% |
2575
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
6351
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
8770
104.2 IPS |
|
|
Face Detection (Q)
|
100% |
6905
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10821
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12229
94.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11266
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27020
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32372
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33074
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5919
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5645
208.4 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1543
26.7 IPS |
