iPhone 16 Pro Max
Geekbench AI Score
5701
Single Precision Score
6686
Half Precision Score
6045
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:41 AM |
| 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% |
2865
532.8 IPS |
|
|
Image Classification (HP)
|
100% |
2686
499.4 IPS |
|
|
Image Classification (Q)
|
97% |
2815
525.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4366
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4352
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15580
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16200
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15489
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3114
247.0 IPS |
|
|
Object Detection (HP)
|
100% |
3537
280.6 IPS |
|
|
Object Detection (Q)
|
91% |
2844
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
7761
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
10557
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
7080
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13311
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14386
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12534
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32817
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37445
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36167
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7996
295.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8314
307.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6764
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
946
16.3 IPS |
