iPhone 15 Pro Max
Geekbench AI Score
3951
Single Precision Score
6976
Half Precision Score
5696
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 03:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1603
298.1 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.4 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8299
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
17063
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14630
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
3328
265.0 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3845
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7015
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12947
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9049
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21992
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34373
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28106
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4440
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5640
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6930
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6843
118.3 IPS |
