iPhone 15 Pro Max
Geekbench AI Score
3851
Single Precision Score
7001
Half Precision Score
5723
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1538
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
2945
547.6 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17756
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15172
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
3261
259.6 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3826
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6786
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12734
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8951
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21216
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33502
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27899
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5807
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5771
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7138
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7115
123.0 IPS |
