iPhone 15 Pro Max
Geekbench AI Score
4971
Single Precision Score
6012
Half Precision Score
5564
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:34 PM |
| Views | 1 |
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% |
1839
341.9 IPS |
|
|
Image Classification (HP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (Q)
|
96% |
1998
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4061
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13015
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14987
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14584
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
2758
218.8 IPS |
|
|
Object Detection (Q)
|
92% |
2375
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
6383
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
9287
110.3 IPS |
|
|
Face Detection (Q)
|
100% |
7321
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11237
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12806
98.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11112
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27202
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32983
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31901
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5508
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5144
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5569
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1376
23.8 IPS |
