iPhone 16 Pro Max
Geekbench AI Score
4673
Single Precision Score
33158
Half Precision Score
43855
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
14989
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19473
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18297
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24079
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9564
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153783
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292080
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
16150
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22276
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3893
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
40188
477.5 IPS |
|
|
Face Detection (Q)
|
100% |
58368
693.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94332
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161559
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20441
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245330
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303767
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50365
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85646
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5103
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3292
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9870
170.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10682
184.6 IPS |
