iPhone 15 Pro Max
Geekbench AI Score
3871
Single Precision Score
6893
Half Precision Score
5607
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 05:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1595
296.6 IPS |
|
|
Image Classification (HP)
|
100% |
2983
554.8 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7955
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
16127
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14114
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
97% |
3300
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2367
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6670
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3778
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6866
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12871
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8916
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20809
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33463
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27650
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5979
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6413
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6095
105.3 IPS |
