iPhone 16 Pro
Geekbench AI Score
6116
Single Precision Score
7022
Half Precision Score
6790
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | halans |
| Upload Date | September 14 2025 08:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2923
543.6 IPS |
|
|
Image Classification (HP)
|
100% |
2403
446.9 IPS |
|
|
Image Classification (Q)
|
96% |
2922
545.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4755
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15713
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17070
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17012
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (HP)
|
100% |
3703
293.7 IPS |
|
|
Object Detection (Q)
|
92% |
3422
273.1 IPS |
|
|
Face Detection (SP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
10802
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
8404
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13097
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15255
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13690
106.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32919
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38128
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38868
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8059
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8203
302.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7467
275.7 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5953
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6019
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1282
22.2 IPS |
