iPhone 16 Pro Max
Geekbench AI Score
4105
Single Precision Score
32760
Half Precision Score
44487
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 07:03 PM |
| Views | 2 |
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% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
13967
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
18011
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17365
281.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23593
382.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7604
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
134380
156.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
272377
319.2 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
15687
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21322
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
39537
469.8 IPS |
|
|
Face Detection (Q)
|
100% |
52350
622.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7518
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92459
712.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
145211
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
19715
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
242148
311.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294151
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4702
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49827
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76133
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5795
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5769
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3957
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10897
187.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12529
216.5 IPS |
