iPhone 16 Pro Max
Geekbench AI Score
4304
Single Precision Score
7488
Half Precision Score
5968
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.4 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8009
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
16535
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14172
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (HP)
|
97% |
3658
291.3 IPS |
|
|
Object Detection (Q)
|
94% |
2587
206.2 IPS |
|
|
Face Detection (SP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7162
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
4013
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7233
55.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13459
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9233
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22457
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35254
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28990
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6817
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4831
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6915
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6939
119.9 IPS |
