iPhone 16 Pro
Geekbench AI Score
4647
Single Precision Score
33632
Half Precision Score
45281
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Minion |
| Upload Date | August 31 2025 02:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
14903
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
18800
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18098
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23614
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9096
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152423
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290654
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
15546
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21358
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
39867
473.7 IPS |
|
|
Face Detection (Q)
|
100% |
53862
640.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8267
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94395
727.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
154009
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22913
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246383
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295663
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5477
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53862
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82425
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6231
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6169
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9311
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10544
182.2 IPS |
