iPhone 15 Pro Max
Geekbench AI Score
5056
Single Precision Score
5912
Half Precision Score
5576
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | June 23 2025 08:09 PM |
| Views | 4 |
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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
1971
366.6 IPS |
|
|
Image Classification (Q)
|
96% |
1780
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3735
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4201
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4050
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13469
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14584
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14286
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.0 IPS |
|
|
Object Detection (Q)
|
92% |
2467
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
6252
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8525
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6920
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11182
86.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12228
94.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11358
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27025
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33134
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31272
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5806
214.4 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1403
24.2 IPS |
