iPhone 16 Pro Max
Geekbench AI Score
6142
Single Precision Score
7037
Half Precision Score
6758
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 11:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3059
568.9 IPS |
|
|
Image Classification (HP)
|
100% |
2787
518.2 IPS |
|
|
Image Classification (Q)
|
96% |
3078
574.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4396
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4894
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4740
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15592
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17087
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16933
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3154
250.1 IPS |
|
|
Object Detection (HP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (Q)
|
92% |
3135
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
7728
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
10674
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
8516
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13515
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14861
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13894
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33158
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38739
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38901
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8225
303.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7539
278.4 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
