iPhone 16 Pro Max
Geekbench AI Score
4673
Single Precision Score
7878
Half Precision Score
6271
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | March 25 2025 03:47 PM |
| Views | 3 |
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% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
3410
634.1 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3328
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9465
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18791
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15592
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7421
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4226
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14357
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10010
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20644
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37869
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31278
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7310
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6048
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5931
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7394
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7401
127.9 IPS |
