iPhone 16 Pro Max
Geekbench AI Score
4511
Single Precision Score
7693
Half Precision Score
6176
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 07 2025 07:07 AM |
| Views | 21 |
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% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3392
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8967
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18078
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15242
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6823
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
4203
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7759
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14186
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9499
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24045
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37533
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30932
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4933
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6045
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7039
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7053
121.9 IPS |
