iPhone 16 Pro Max
Geekbench AI Score
6121
Single Precision Score
7053
Half Precision Score
6860
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 24 2026 01:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
2713
504.6 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (Q)
|
96% |
3147
587.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4491
72.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4967
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4794
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15723
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17335
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17353
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3209
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
3491
276.9 IPS |
|
|
Object Detection (Q)
|
92% |
3198
255.3 IPS |
|
|
Face Detection (SP)
|
100% |
7774
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
10925
129.8 IPS |
|
|
Face Detection (Q)
|
100% |
8671
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13644
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15245
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14634
114.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33355
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39056
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38249
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8026
296.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8359
308.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7671
283.3 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5951
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5897
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
