iPhone 16 Pro Max
Geekbench AI Score
4531
Single Precision Score
33424
Half Precision Score
44566
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2001
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
14541
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
17718
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18102
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23620
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8911
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151001
176.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290086
340.0 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
15797
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21285
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
40068
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
52945
629.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8200
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94758
730.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
155744
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
21641
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244513
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295863
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51196
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79298
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6316
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9234
159.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10162
175.6 IPS |
