iPhone 15 Pro Max
Geekbench AI Score
4085
Single Precision Score
6910
Half Precision Score
5681
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 01:12 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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.1 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8809
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17339
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14994
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3368
268.1 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6843
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3905
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7200
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13675
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9439
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22145
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32950
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28322
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5266
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5518
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5737
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6191
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6028
104.2 IPS |
