iPhone 16 Pro
Geekbench AI Score
6225
Single Precision Score
7030
Half Precision Score
6890
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:13 AM |
| Views | 3 |
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% |
3030
563.6 IPS |
|
|
Image Classification (HP)
|
100% |
2232
415.0 IPS |
|
|
Image Classification (Q)
|
96% |
3152
588.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4523
73.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4914
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15833
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17489
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17327
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (HP)
|
100% |
3595
285.1 IPS |
|
|
Object Detection (Q)
|
92% |
3137
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
8215
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
11203
133.1 IPS |
|
|
Face Detection (Q)
|
100% |
9014
107.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14073
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15557
119.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14424
112.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32787
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39273
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39931
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8104
299.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8238
304.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7586
280.1 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6076
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6053
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1249
21.6 IPS |
