iPhone 16 Pro Max
Geekbench AI Score
4692
Single Precision Score
8088
Half Precision Score
6461
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 01:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7565
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17100
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14690
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.1 IPS |
|
|
Object Detection (HP)
|
97% |
3700
294.5 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
6956
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4025
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7450
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13672
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9370
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20227
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37431
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30009
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5100
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
7179
9.58 KIPS |
|
|
Text Classification (HP)
|
100% |
10847
14.5 KIPS |
|
|
Text Classification (Q)
|
93% |
10602
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4057
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7074
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7090
122.5 IPS |
