iPhone 15 Pro Max
Geekbench AI Score
5054
Single Precision Score
6050
Half Precision Score
5656
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | December 29 2025 10:20 PM |
| Views | 3 |
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% |
2149
399.7 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
2099
391.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3779
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4231
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4087
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13247
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15022
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14519
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
2858
226.7 IPS |
|
|
Object Detection (Q)
|
92% |
2464
196.6 IPS |
|
|
Face Detection (SP)
|
100% |
6312
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
8857
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
6859
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10707
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12297
94.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11300
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27141
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32801
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32336
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6008
221.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5413
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1379
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1478
25.5 IPS |
