iPhone 16 Pro Max
Geekbench AI Score
4569
Single Precision Score
7789
Half Precision Score
6237
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2002
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3373
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9059
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18452
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15769
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7498
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4258
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7831
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14411
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9988
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24225
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37795
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31003
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5740
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5923
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7009
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7007
121.1 IPS |
