iPhone 16 Pro Max
Geekbench AI Score
6093
Single Precision Score
7128
Half Precision Score
6774
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Testify |
| Upload Date | August 25 2025 09:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2770
515.1 IPS |
|
|
Image Classification (HP)
|
100% |
2611
485.5 IPS |
|
|
Image Classification (Q)
|
96% |
2911
543.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4423
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4940
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4742
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15642
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17343
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17065
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3192
253.2 IPS |
|
|
Object Detection (HP)
|
100% |
3713
294.6 IPS |
|
|
Object Detection (Q)
|
92% |
3189
254.5 IPS |
|
|
Face Detection (SP)
|
100% |
7805
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
10782
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
8574
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13580
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15375
118.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14090
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32976
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38925
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39008
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8054
297.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8364
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7609
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5910
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1287
22.2 IPS |
