iPhone 16 Pro Max
Geekbench AI Score
4488
Single Precision Score
7671
Half Precision Score
6163
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1743
324.2 IPS |
|
|
Image Classification (HP)
|
100% |
3449
641.5 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9051
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17811
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15089
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.9 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6915
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8090
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13695
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9587
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21314
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36678
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30185
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7135
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5103
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6107
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7245
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7183
124.1 IPS |
