iPhone 16 Pro Max
Geekbench AI Score
5734
Single Precision Score
6744
Half Precision Score
6678
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2659
494.5 IPS |
|
|
Image Classification (HP)
|
100% |
2099
390.4 IPS |
|
|
Image Classification (Q)
|
96% |
2957
552.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4337
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4964
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4807
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14853
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18017
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17385
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3085
244.7 IPS |
|
|
Object Detection (HP)
|
100% |
3461
274.5 IPS |
|
|
Object Detection (Q)
|
92% |
3173
253.2 IPS |
|
|
Face Detection (SP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
10647
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8221
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12711
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15270
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14560
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31643
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38465
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37903
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7251
267.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7968
294.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7114
262.7 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5719
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1220
21.1 IPS |
