iPhone 16 Pro Max
Geekbench AI Score
4565
Single Precision Score
7749
Half Precision Score
6156
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:11 AM |
| Views | 1 |
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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.4 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3321
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9038
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17896
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15212
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.9 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7353
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4122
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14097
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9623
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19696
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36523
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30222
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7284
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4206
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7336
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7256
125.4 IPS |
