iPhone 16 Pro Max
Geekbench AI Score
4504
Single Precision Score
32986
Half Precision Score
46159
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 07:28 AM |
| Views | 3 |
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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
15180
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20201
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18298
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24054
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8668
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147180
171.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291423
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
16356
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22411
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
41173
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
59094
702.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95168
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160127
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19131
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244718
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300446
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5222
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50612
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86009
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4689
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4955
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10023
172.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11421
197.4 IPS |
