iPhone 16 Pro Max
Geekbench AI Score
6094
Single Precision Score
7111
Half Precision Score
6814
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (HP)
|
100% |
2875
534.7 IPS |
|
|
Image Classification (Q)
|
96% |
3153
588.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4336
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4951
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4783
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15585
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17290
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17044
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3458
274.3 IPS |
|
|
Object Detection (Q)
|
92% |
3191
254.7 IPS |
|
|
Face Detection (SP)
|
100% |
7782
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
10893
129.4 IPS |
|
|
Face Detection (Q)
|
100% |
8570
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13722
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15003
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14095
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32819
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38525
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39014
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7982
294.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8360
308.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7541
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5895
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5897
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
