iPhone 16 Pro Max
Geekbench AI Score
4544
Single Precision Score
7763
Half Precision Score
6185
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 23 2025 07:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9220
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18280
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15474
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3704
294.9 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
7356
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8079
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14138
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9752
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19915
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37186
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29969
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5128
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7283
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7314
126.4 IPS |
