iPhone 16 Pro Max
Geekbench AI Score
5698
Single Precision Score
6693
Half Precision Score
6055
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2680
498.5 IPS |
|
|
Image Classification (HP)
|
100% |
2727
507.2 IPS |
|
|
Image Classification (Q)
|
97% |
2746
512.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3413
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4337
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15613
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16442
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15578
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3247
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
3461
274.5 IPS |
|
|
Object Detection (Q)
|
91% |
3102
247.9 IPS |
|
|
Face Detection (SP)
|
100% |
7664
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
10567
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
7064
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13249
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14398
110.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12488
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32839
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39307
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35972
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7927
292.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8455
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6713
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
