iPhone 16 Pro Max
Geekbench AI Score
4437
Single Precision Score
32975
Half Precision Score
45689
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | March 10 2025 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
15532
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21012
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18272
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24032
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8316
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
150626
175.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292730
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2038
161.6 IPS |
|
|
Object Detection (HP)
|
100% |
16632
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22871
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41501
493.1 IPS |
|
|
Face Detection (Q)
|
100% |
57693
685.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7666
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94976
731.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160567
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23411
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245328
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303834
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50396
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82979
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4459
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3809
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9125
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11260
194.6 IPS |
