iPhone 16 Pro Max
Geekbench AI Score
4427
Single Precision Score
7602
Half Precision Score
6055
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 09:20 PM |
| Views | 2 |
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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8398
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17092
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14339
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7379
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4122
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7409
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13651
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9611
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23285
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36245
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29864
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6878
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7054
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6995
120.9 IPS |
