iPhone 15 Pro Max
Geekbench AI Score
3878
Single Precision Score
6797
Half Precision Score
5542
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1669
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3071
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7727
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15950
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13839
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3346
266.3 IPS |
|
|
Object Detection (Q)
|
94% |
2303
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6679
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3844
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6831
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13329
103.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9152
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20705
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32013
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26997
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5805
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4390
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6047
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6003
103.7 IPS |
