iPhone 16 Pro Max
Geekbench AI Score
4453
Single Precision Score
33069
Half Precision Score
44808
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:54 AM |
| Views | 5 |
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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
14803
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18561
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18185
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23681
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8495
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
146931
171.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
288048
337.6 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
15570
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21814
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39490
469.2 IPS |
|
|
Face Detection (Q)
|
100% |
52261
621.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7863
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94060
724.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
156178
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
20949
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243578
313.1 IPS |
|
|
Style Transfer (Q)
|
96% |
293851
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50004
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78948
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6082
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9170
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10258
177.3 IPS |
