iPhone 16 Pro Max
Geekbench AI Score
4485
Single Precision Score
32697
Half Precision Score
45588
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | goggi |
| Upload Date | January 07 2025 11:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
15391
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
19593
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18136
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24016
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8771
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153346
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293930
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16238
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22302
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41129
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
57959
688.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7880
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95918
739.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161000
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23992
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245632
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303327
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5628
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50766
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86946
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4413
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4494
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9257
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11367
196.4 IPS |
