iPhone 16 Pro Max
Geekbench AI Score
5771
Single Precision Score
6816
Half Precision Score
6014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | February 02 2025 02:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2992
556.4 IPS |
|
|
Image Classification (HP)
|
100% |
3155
586.8 IPS |
|
|
Image Classification (Q)
|
97% |
2836
529.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4392
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15705
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16344
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15565
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (Q)
|
91% |
2851
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
7652
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
10589
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
7102
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13413
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14450
111.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12334
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32695
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39543
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35707
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8084
298.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8476
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6672
246.4 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5978
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5860
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
916
15.8 IPS |
