iPhone 16 Pro
Geekbench AI Score
4755
Single Precision Score
5402
Half Precision Score
5234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:13 AM |
| 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% |
840
156.1 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
96% |
830
155.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4159
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4634
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15830
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17332
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17369
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1735
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (Q)
|
92% |
1567
125.1 IPS |
|
|
Face Detection (SP)
|
100% |
8157
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
10021
119.1 IPS |
|
|
Face Detection (Q)
|
100% |
8980
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14207
109.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15867
122.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14876
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32763
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39194
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39757
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3674
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5938
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1264
21.8 IPS |
