iPhone 16 Pro
Geekbench AI Score
6187
Single Precision Score
6989
Half Precision Score
6735
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 13 2025 02:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
3042
565.8 IPS |
|
|
Image Classification (HP)
|
100% |
2403
447.0 IPS |
|
|
Image Classification (Q)
|
96% |
3098
578.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4738
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15721
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16463
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16052
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3160
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
3435
272.5 IPS |
|
|
Object Detection (Q)
|
92% |
3178
253.7 IPS |
|
|
Face Detection (SP)
|
100% |
8108
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
11023
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
8839
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14088
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15239
117.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13430
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32610
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38487
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38632
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8045
297.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8385
309.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7505
277.1 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5954
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.1 IPS |
