iPhone 16 Pro Max
Geekbench AI Score
6107
Single Precision Score
7003
Half Precision Score
6660
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 12:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2985
555.0 IPS |
|
|
Image Classification (HP)
|
100% |
2765
514.2 IPS |
|
|
Image Classification (Q)
|
96% |
3141
586.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4926
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15756
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16396
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15958
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3455
274.1 IPS |
|
|
Object Detection (Q)
|
92% |
3147
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
7831
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
10709
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
8439
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13522
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14525
111.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13504
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32740
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37718
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36732
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7922
292.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8409
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7430
274.4 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1269
21.9 IPS |
