iPhone 16 Pro Max
Geekbench AI Score
4460
Single Precision Score
33016
Half Precision Score
44558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 07:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2009
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
14615
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18543
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23636
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8692
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
149004
173.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
288211
337.8 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
15528
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21209
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39473
469.0 IPS |
|
|
Face Detection (Q)
|
100% |
53075
630.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7922
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94093
724.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
150762
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20887
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244153
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296116
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50589
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79029
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6122
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8940
154.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10045
173.6 IPS |
