iPhone 16 Pro Max
Geekbench AI Score
4524
Single Precision Score
32952
Half Precision Score
46018
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 18 2024 08:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
15404
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20693
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18171
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24032
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8782
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154629
180.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293091
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
100% |
16491
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22582
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3614
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41239
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
58541
695.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7761
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95162
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160996
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23495
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245772
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300954
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5628
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49941
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83922
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4525
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4752
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9704
167.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11439
197.7 IPS |
