iPhone 16 Pro Max
Geekbench AI Score
4409
Single Precision Score
32964
Half Precision Score
45909
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 03:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
15412
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20566
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18185
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24033
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8529
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
147051
171.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
290118
340.0 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
16406
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22881
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
41094
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
57751
686.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7745
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94501
728.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159437
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18196
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244445
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304101
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49684
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83840
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4815
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4903
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9867
170.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11015
190.3 IPS |
