iPhone 16 Pro Max
Geekbench AI Score
4383
Single Precision Score
33335
Half Precision Score
45173
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 06:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1982
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
14361
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
19035
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18121
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23498
380.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
144766
168.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285561
334.7 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
15468
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21101
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
39623
470.8 IPS |
|
|
Face Detection (Q)
|
100% |
53200
632.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7713
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93752
722.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
151613
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20889
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243561
313.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294335
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50654
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76954
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5761
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3994
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10869
187.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12474
215.6 IPS |
