iPhone 16 Pro
Geekbench AI Score
4618
Single Precision Score
7791
Half Precision Score
6186
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 11:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2067
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9143
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17871
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15040
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4148
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8024
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14061
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9762
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20180
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37214
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30471
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5392
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7329
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5111
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7317
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7348
127.0 IPS |
