iPhone 15 Pro Max
Geekbench AI Score
3888
Single Precision Score
25005
Half Precision Score
35016
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:42 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1643
305.5 IPS |
|
|
Image Classification (HP)
|
100% |
10823
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15586
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15936
258.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20945
339.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7677
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
104375
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204007
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13903
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19101
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
33853
402.2 IPS |
|
|
Face Detection (Q)
|
100% |
50502
600.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6942
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78747
606.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126719
990.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20807
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201555
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
247899
319.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34943
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57440
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3228
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6265
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7406
128.0 IPS |
