iPhone 16 Pro
Geekbench AI Score
4045
Single Precision Score
7189
Half Precision Score
5834
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1891
351.6 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.5 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7752
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15374
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13331
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (HP)
|
97% |
3409
271.4 IPS |
|
|
Object Detection (Q)
|
94% |
2432
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6402
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
3583
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6132
47.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
11037
85.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8287
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16904
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29480
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25444
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6483
239.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4820
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6599
8.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8404
145.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8006
138.4 IPS |
