iPhone 16 Pro Max
Geekbench AI Score
4531
Single Precision Score
32319
Half Precision Score
42741
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 01:42 PM |
| Views | 2 |
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% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
15366
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
19979
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18330
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24170
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8740
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
150076
175.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290847
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
16276
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22675
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
41173
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
56901
676.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7986
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95215
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162012
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
19197
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245894
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302808
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5252
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51151
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84787
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2308
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4234
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10237
176.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11695
202.1 IPS |
