iPhone 16 Pro Max
Geekbench AI Score
4465
Single Precision Score
7648
Half Precision Score
6073
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 15 2025 05:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3278
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8626
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17213
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14468
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
97% |
3705
295.0 IPS |
|
|
Object Detection (Q)
|
94% |
2603
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3781
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
7234
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4037
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7853
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13759
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9452
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19278
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36375
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29580
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5158
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7249
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7241
125.1 IPS |
