iPhone 15 Pro Max
Geekbench AI Score
3979
Single Precision Score
7006
Half Precision Score
5735
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 07 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3044
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8187
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
17097
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14600
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
97% |
3347
266.5 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3843
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7050
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12939
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9057
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22005
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34328
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28190
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4482
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7006
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6955
120.2 IPS |
