iPhone 16 Pro Max
Geekbench AI Score
4602
Single Precision Score
33226
Half Precision Score
45763
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
15201
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20969
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18300
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24070
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9152
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153368
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291486
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
16316
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22590
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
41076
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
56871
675.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8263
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94848
730.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
158786
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20136
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246188
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303970
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50533
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84291
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4521
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4226
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9966
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11589
200.3 IPS |
