iPhone 15 Pro Max
Geekbench AI Score
3892
Single Precision Score
6914
Half Precision Score
5646
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 09:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1589
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2996
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8380
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17270
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14735
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6435
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
3758
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6993
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12769
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8977
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21738
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34937
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28486
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4499
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5752
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5713
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6379
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6367
110.0 IPS |
