iPhone 15 Pro Max
Geekbench AI Score
4132
Single Precision Score
5523
Half Precision Score
5406
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 10:02 PM |
| Views | 3 |
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% |
1780
331.0 IPS |
|
|
Image Classification (HP)
|
100% |
1973
367.0 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4153
67.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3997
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12670
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13965
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14041
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (Q)
|
92% |
2522
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
4985
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
7002
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
6329
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10129
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10704
82.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11450
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24654
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28380
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23159
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6597
243.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6369
235.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5859
216.3 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.2 IPS |
|
|
Text Classification (HP)
|
100% |
4514
6.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1660
28.7 IPS |
