iPhone 15 Pro Max
Geekbench AI Score
4938
Single Precision Score
5795
Half Precision Score
5707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dionatanfelipe |
| Upload Date | October 25 2025 03:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1929
358.8 IPS |
|
|
Image Classification (HP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3690
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4199
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4063
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13048
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14816
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13454
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
2540
201.4 IPS |
|
|
Object Detection (Q)
|
92% |
2447
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
6166
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
6939
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10655
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12081
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11115
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26615
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32529
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32832
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5893
217.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5562
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5720
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5659
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1497
25.9 IPS |
