iPhone 16 Pro Max
Geekbench AI Score
4693
Single Precision Score
33178
Half Precision Score
45557
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 01:35 AM |
| Views | 23 |
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% |
15147
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20118
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18359
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24201
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9536
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153695
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292339
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
16238
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22676
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
39938
474.6 IPS |
|
|
Face Detection (Q)
|
100% |
56460
670.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95336
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159118
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20886
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245338
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302604
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50731
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84465
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4640
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10159
175.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11200
193.6 IPS |
