iPhone 16 Pro Max
Geekbench AI Score
4323
Single Precision Score
7505
Half Precision Score
6007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | February 06 2025 04:18 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.8 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3328
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8213
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
16825
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14460
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2044
162.1 IPS |
|
|
Object Detection (HP)
|
97% |
3679
292.9 IPS |
|
|
Object Detection (Q)
|
94% |
2577
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7251
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4040
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7269
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13477
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9250
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22757
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35358
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29174
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5136
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6750
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4801
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5987
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6913
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6940
119.9 IPS |
