iPhone 16 Pro
Geekbench AI Score
6201
Single Precision Score
6895
Half Precision Score
6849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3004
558.7 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (Q)
|
96% |
3106
580.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4468
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4919
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4757
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15731
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17016
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16960
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
3465
274.8 IPS |
|
|
Object Detection (Q)
|
92% |
3158
252.1 IPS |
|
|
Face Detection (SP)
|
100% |
8145
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
11143
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
8983
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14157
109.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15619
120.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13917
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32706
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39510
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39974
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7987
294.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8189
302.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7554
278.9 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1300
22.5 IPS |
