iPhone 16 Pro Max
Geekbench AI Score
4335
Single Precision Score
33169
Half Precision Score
44385
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | waltersmat4444 |
| Upload Date | October 17 2025 08:52 AM |
| Views | 2 |
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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
14353
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
18347
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18111
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23632
383.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8406
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
142238
166.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
274294
321.5 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
15759
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21128
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
39630
470.9 IPS |
|
|
Face Detection (Q)
|
100% |
53144
631.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7704
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96092
740.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
152821
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
19036
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
243085
312.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294650
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51942
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80640
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6337
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6082
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9079
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10064
173.9 IPS |
