iPhone 16 Pro Max
Geekbench AI Score
4492
Single Precision Score
33192
Half Precision Score
45911
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 11:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
15240
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20368
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18144
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24059
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8866
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153698
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292645
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
16371
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22407
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3526
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
41163
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
58047
689.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7812
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95937
739.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160499
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23886
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245584
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303177
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5451
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52317
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84840
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4773
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9390
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11323
195.7 IPS |
