iPhone 16 Pro
Geekbench AI Score
4291
Single Precision Score
33030
Half Precision Score
44814
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 03:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1877
349.0 IPS |
|
|
Image Classification (HP)
|
100% |
14623
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18541
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17911
290.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23525
381.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7844
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
139646
162.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
273112
320.1 IPS |
|
|
Object Detection (SP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (HP)
|
100% |
15524
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21364
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
40058
476.0 IPS |
|
|
Face Detection (Q)
|
100% |
54867
651.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7685
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
92458
712.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
153276
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20118
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236150
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
277330
357.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5136
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48586
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75853
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10920
188.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12466
215.4 IPS |
