iPhone 16 Pro Max
Geekbench AI Score
4492
Single Precision Score
33176
Half Precision Score
46100
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:09 PM |
| Views | 12 |
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% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
15271
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20496
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24121
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8679
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154538
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293007
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
16402
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22934
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
42050
499.6 IPS |
|
|
Face Detection (Q)
|
100% |
58117
690.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7735
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95517
735.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161585
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23463
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245568
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302576
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5652
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50468
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84191
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4760
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9467
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11462
198.1 IPS |
