iPhone 16 Pro Max
Geekbench AI Score
6191
Single Precision Score
7042
Half Precision Score
6702
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 01:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
3043
565.8 IPS |
|
|
Image Classification (HP)
|
100% |
2841
528.3 IPS |
|
|
Image Classification (Q)
|
96% |
3164
590.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4423
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4911
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4762
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15804
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16410
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16004
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
3461
274.5 IPS |
|
|
Object Detection (Q)
|
92% |
3198
255.3 IPS |
|
|
Face Detection (SP)
|
100% |
7533
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
10591
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
8325
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13848
106.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14626
112.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13471
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33466
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39680
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37653
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8128
300.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8332
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7592
280.3 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1268
21.9 IPS |
