iPhone 15 Pro Max
Geekbench AI Score
3858
Single Precision Score
6874
Half Precision Score
5628
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 29 2025 10:38 PM |
| Views | 8 |
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% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
3010
559.9 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3022
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7687
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
16219
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14158
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
97% |
3280
261.2 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6617
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3756
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6679
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12649
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8846
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20702
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33114
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27081
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4452
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5673
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6788
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
