iPhone 16 Pro Max
Geekbench AI Score
5704
Single Precision Score
6759
Half Precision Score
5963
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (HP)
|
100% |
2887
537.0 IPS |
|
|
Image Classification (Q)
|
97% |
2830
528.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3353
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4406
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4396
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15698
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16536
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15624
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3183
252.5 IPS |
|
|
Object Detection (HP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (Q)
|
91% |
2851
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
7706
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10745
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
7137
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13551
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14410
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12033
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33208
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37805
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36518
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7963
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8476
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6828
252.1 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5989
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
892
15.4 IPS |
