iPhone 16 Pro Max
Geekbench AI Score
4467
Single Precision Score
32973
Half Precision Score
44528
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
14062
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
18669
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18087
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23309
377.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8558
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
148742
173.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288051
337.6 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
15587
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21613
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39961
474.8 IPS |
|
|
Face Detection (Q)
|
100% |
53821
639.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7978
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94143
725.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
151280
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21369
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244460
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293836
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5172
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50850
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78127
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3977
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9018
155.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9923
171.5 IPS |
