iPhone 15 Pro Max
Geekbench AI Score
3741
Single Precision Score
5486
Half Precision Score
4763
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 10:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.9 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
1644
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2071
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8036
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16593
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14338
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.5 IPS |
|
|
Object Detection (HP)
|
97% |
2604
207.3 IPS |
|
|
Object Detection (Q)
|
94% |
2004
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6288
48.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
9671
74.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7354
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20461
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30652
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25786
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5169
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4444
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4441
76.7 IPS |
