iPhone 15 Pro Max
Geekbench AI Score
5044
Single Precision Score
5911
Half Precision Score
5702
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 09:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (Q)
|
96% |
2073
387.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3786
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4081
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13301
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15291
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14697
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (Q)
|
92% |
2528
201.8 IPS |
|
|
Face Detection (SP)
|
100% |
6373
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
6951
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10735
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12435
95.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11535
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27267
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32859
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32011
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5716
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5913
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5393
199.1 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5432
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1520
26.3 IPS |
