iPhone 16 Pro Max
Geekbench AI Score
6122
Single Precision Score
6968
Half Precision Score
6682
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 15 2025 05:37 PM |
| 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% |
2946
547.9 IPS |
|
|
Image Classification (HP)
|
100% |
2658
494.4 IPS |
|
|
Image Classification (Q)
|
96% |
3094
577.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4426
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4724
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15621
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16435
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15986
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
3431
272.1 IPS |
|
|
Object Detection (Q)
|
92% |
3156
251.9 IPS |
|
|
Face Detection (SP)
|
100% |
7532
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
10649
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8364
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13522
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14559
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13459
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33033
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37916
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37651
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8009
295.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8423
311.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7567
279.4 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1289
22.3 IPS |
