iPhone 16 Pro Max
Geekbench AI Score
4610
Single Precision Score
7814
Half Precision Score
6246
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Criton |
| Upload Date | March 30 2025 10:36 AM |
| Views | 2 |
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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.8 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9403
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18409
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15502
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8141
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14308
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9948
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20133
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37470
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30871
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7312
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7317
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7385
127.6 IPS |
