iPhone 16 Pro Max
Geekbench AI Score
3862
Single Precision Score
6718
Half Precision Score
5371
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | peterb123 |
| Upload Date | September 20 2025 03:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2776
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
13922
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12079
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.8 IPS |
|
|
Object Detection (HP)
|
97% |
3184
253.5 IPS |
|
|
Object Detection (Q)
|
94% |
2208
176.0 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5939
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3349
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6481
49.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
11351
87.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8040
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17168
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29540
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25284
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4363
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6525
241.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3660
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6450
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6713
116.0 IPS |
