iPhone 15 Pro Max
Geekbench AI Score
3927
Single Precision Score
6855
Half Precision Score
5604
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 09:52 AM |
| Views | 1 |
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% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
2947
548.1 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8105
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
16522
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14458
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
3355
267.1 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6740
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3860
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6914
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13499
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9278
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21229
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32548
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27348
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5893
217.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6026
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5982
103.4 IPS |
