iPhone 16 Pro Max
Geekbench AI Score
4341
Single Precision Score
7511
Half Precision Score
5994
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | March 06 2025 10:23 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
3313
616.1 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8278
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16883
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14522
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2622
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
7201
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
3985
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7271
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13360
103.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9339
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22766
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35604
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29199
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6812
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4808
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5953
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6889
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6858
118.5 IPS |
