iPhone 16 Pro
Geekbench AI Score
4618
Single Precision Score
33634
Half Precision Score
45429
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 12 2026 07:26 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
14799
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18921
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17987
291.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23714
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8833
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151683
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291592
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
15767
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21251
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
40528
481.6 IPS |
|
|
Face Detection (Q)
|
100% |
54752
650.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8138
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94328
726.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
154170
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
22613
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245612
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295145
380.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51568
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80156
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6368
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6406
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4137
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9439
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10527
181.9 IPS |
