iPhone 16 Pro Max
Geekbench AI Score
4508
Single Precision Score
7710
Half Precision Score
6122
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 09:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.2 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8943
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17605
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14839
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
97% |
3752
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2605
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3739
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7313
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4045
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13795
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9600
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19609
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36534
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29970
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7297
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5920
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7258
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7284
125.9 IPS |
