iPhone 16 Pro Max
Geekbench AI Score
4644
Single Precision Score
7862
Half Precision Score
6263
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 08:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.1 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9567
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18983
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15887
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7432
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4243
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8100
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14330
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10054
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20657
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37700
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31157
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7314
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5116
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5969
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7359
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7303
126.2 IPS |
