iPhone 15 Pro Max
Geekbench AI Score
5068
Single Precision Score
6034
Half Precision Score
5450
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ddtdanilo |
| Upload Date | July 12 2025 04:56 PM |
| Views | 13 |
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% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (Q)
|
96% |
1399
261.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3708
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4148
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13780
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14897
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14518
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
2762
219.1 IPS |
|
|
Object Detection (Q)
|
92% |
2381
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
6109
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
8787
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
6933
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11200
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12207
94.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11364
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27057
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32918
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31583
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5738
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1391
24.0 IPS |
