iPhone 15 Pro Max
Geekbench AI Score
4986
Single Precision Score
5888
Half Precision Score
5543
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 03:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
1947
362.1 IPS |
|
|
Image Classification (Q)
|
96% |
1774
331.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3650
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4059
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13192
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14516
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14118
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
2561
203.1 IPS |
|
|
Object Detection (Q)
|
92% |
2554
203.8 IPS |
|
|
Face Detection (SP)
|
100% |
5998
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
8430
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
6508
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10652
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11960
92.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11120
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27252
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32726
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31570
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5652
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5537
204.5 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5686
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1467
25.4 IPS |
