iPhone 16 Pro
Geekbench AI Score
6206
Single Precision Score
7137
Half Precision Score
6866
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 02:05 PM |
| 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% |
3087
574.2 IPS |
|
|
Image Classification (HP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (Q)
|
96% |
3129
584.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4487
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4962
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4777
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15765
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17248
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17023
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3216
255.1 IPS |
|
|
Object Detection (HP)
|
100% |
3492
277.0 IPS |
|
|
Object Detection (Q)
|
92% |
3215
256.6 IPS |
|
|
Face Detection (SP)
|
100% |
7695
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
10871
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
8701
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13581
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15029
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14566
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33155
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39130
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39290
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8155
301.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8304
306.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7684
283.7 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1273
22.0 IPS |
