iPhone 16 Pro Max
Geekbench AI Score
4630
Single Precision Score
7833
Half Precision Score
6231
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3440
639.8 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18503
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15610
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3924
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7488
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4200
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14356
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9896
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20202
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37491
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30567
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5404
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7271
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7353
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7311
126.3 IPS |
