iPhone 16 Pro Max
Geekbench AI Score
4537
Single Precision Score
7731
Half Precision Score
6109
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Hgors |
| Upload Date | March 25 2025 02:29 AM |
| Views | 8 |
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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
3408
633.7 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8878
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17716
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14757
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2581
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7379
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4098
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7952
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14059
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9433
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19614
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36620
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29961
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5168
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5097
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7320
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7260
125.5 IPS |
