iPhone 16 Pro
Geekbench AI Score
6247
Single Precision Score
6929
Half Precision Score
6918
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | October 11 2025 11:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.9 IPS |
|
|
Image Classification (Q)
|
96% |
3067
572.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4467
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4909
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4745
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15811
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17324
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17290
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3397
269.4 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.8 IPS |
|
|
Object Detection (Q)
|
92% |
3234
258.1 IPS |
|
|
Face Detection (SP)
|
100% |
8283
98.4 IPS |
|
|
Face Detection (HP)
|
100% |
11207
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
9072
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14203
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15767
121.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14777
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32792
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39514
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39844
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8094
298.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8346
308.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7568
279.4 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1297
22.4 IPS |
