iPhone 16 Pro Max
Geekbench AI Score
4524
Single Precision Score
33111
Half Precision Score
45931
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
15925
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
19694
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18237
295.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24166
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8732
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
150061
175.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290258
340.2 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
16257
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22591
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
39667
471.3 IPS |
|
|
Face Detection (Q)
|
100% |
56878
675.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8159
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94854
730.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
158866
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19416
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245393
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303845
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5072
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50425
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83159
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5067
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4153
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9964
171.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11577
200.1 IPS |
