iPhone 16 Pro Max
Geekbench AI Score
4422
Single Precision Score
33406
Half Precision Score
46472
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 10 2024 11:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
15610
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
21154
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18272
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23930
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8500
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
153442
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293628
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
16669
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22830
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
42010
499.2 IPS |
|
|
Face Detection (Q)
|
100% |
58352
693.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7577
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95237
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162996
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23380
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245695
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303431
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5503
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51237
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87299
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4949
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4793
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9519
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11466
198.1 IPS |
