iPhone 15 Pro Max
Geekbench AI Score
5090
Single Precision Score
5887
Half Precision Score
5533
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 08:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.7 IPS |
|
|
Image Classification (Q)
|
96% |
1587
296.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3711
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13157
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14515
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14142
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
2754
218.5 IPS |
|
|
Object Detection (Q)
|
92% |
2555
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
8418
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
6776
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11045
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12190
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11194
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26708
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32172
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30965
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5451
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5665
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1597
27.6 IPS |
