iPhone 16 Pro Max
Geekbench AI Score
5731
Single Precision Score
6646
Half Precision Score
6037
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 09:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2909
541.0 IPS |
|
|
Image Classification (HP)
|
100% |
2591
481.8 IPS |
|
|
Image Classification (Q)
|
97% |
2799
522.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3319
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4423
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4393
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15595
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16482
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15493
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3470
275.2 IPS |
|
|
Object Detection (Q)
|
91% |
2848
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
7645
90.8 IPS |
|
|
Face Detection (HP)
|
100% |
10635
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
7110
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13464
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14438
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12502
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32693
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37457
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36307
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7984
294.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8349
308.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6813
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
