iPhone 16 Pro Max
Geekbench AI Score
4514
Single Precision Score
33252
Half Precision Score
46135
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:07 AM |
| Views | 1 |
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% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
15830
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
20576
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18160
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24138
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8670
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154295
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292305
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
16390
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22322
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41147
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
57738
686.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7774
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94896
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160548
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24091
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244957
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302288
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50699
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85904
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4993
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4930
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9391
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11359
196.3 IPS |
