iPhone 16 Pro Max
Geekbench AI Score
4577
Single Precision Score
7776
Half Precision Score
6193
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MrTom |
| Upload Date | August 29 2025 08:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.6 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9121
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17959
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15138
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2602
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4141
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8104
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14386
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9921
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20030
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36552
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30415
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7322
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5141
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5953
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5930
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7224
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7275
125.7 IPS |
