iPhone 16 Pro Max
Geekbench AI Score
3571
Single Precision Score
26887
Half Precision Score
36189
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 04:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1554
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
12885
2.40 KIPS |
|
|
Image Classification (Q)
|
97% |
16663
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14802
240.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19425
314.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8024
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
97923
114.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
186198
218.2 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
13901
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17599
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
29583
351.5 IPS |
|
|
Face Detection (Q)
|
100% |
38681
459.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6777
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77301
595.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
131504
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
19082
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
176093
226.4 IPS |
|
|
Style Transfer (Q)
|
96% |
217739
281.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41222
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65101
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5353
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8577
147.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9412
162.7 IPS |
