iPhone 16 Pro Max
Geekbench AI Score
4518
Single Precision Score
7659
Half Precision Score
6117
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:34 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
3464
644.3 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3230
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8798
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17303
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14567
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
97% |
3674
292.5 IPS |
|
|
Object Detection (Q)
|
94% |
2602
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6933
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3918
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8017
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13629
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9431
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22052
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36703
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29721
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5364
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5096
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6210
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6240
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7344
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7370
127.4 IPS |
