iPhone 16 Pro Max
Geekbench AI Score
6185
Single Precision Score
7125
Half Precision Score
6771
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 01:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2735
508.7 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.4 IPS |
|
|
Image Classification (Q)
|
96% |
3125
583.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4476
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4934
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4804
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15799
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16482
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16052
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3406
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
3733
296.1 IPS |
|
|
Object Detection (Q)
|
92% |
3217
256.8 IPS |
|
|
Face Detection (SP)
|
100% |
7930
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
11108
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
8734
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14091
108.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14484
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13414
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32862
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39386
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38613
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8134
300.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8410
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7570
279.5 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6059
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
