iPhone 15 Pro Max
Geekbench AI Score
3864
Single Precision Score
6905
Half Precision Score
5654
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ddtdanilo |
| Upload Date | July 12 2025 04:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1638
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3022
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7541
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
16010
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14092
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.5 IPS |
|
|
Object Detection (HP)
|
97% |
3299
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3743
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6702
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12738
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8902
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20474
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33614
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27622
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4757
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4462
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6801
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6872
118.8 IPS |
