iPhone 15 Pro Max
Geekbench AI Score
3870
Single Precision Score
6780
Half Precision Score
5523
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wierzciu |
| Upload Date | January 11 2025 07:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1693
314.9 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7719
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15902
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13899
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.8 IPS |
|
|
Object Detection (HP)
|
97% |
3340
265.9 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3799
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6804
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13233
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9118
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20703
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32015
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26905
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4323
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3075
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6116
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5948
102.8 IPS |
