iPhone 16 Pro Max
Geekbench AI Score
4579
Single Precision Score
7696
Half Precision Score
6183
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 19 2025 02:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
3468
644.9 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2773
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9177
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18263
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15399
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3705
295.0 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6856
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8141
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13708
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9635
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22263
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36692
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30608
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5371
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7106
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6217
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7360
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7357
127.1 IPS |
