iPhone 16 Pro
Geekbench AI Score
4615
Single Precision Score
33474
Half Precision Score
45018
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
14642
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18741
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18097
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23791
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8941
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
149145
174.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291954
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
15680
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21286
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
40212
477.8 IPS |
|
|
Face Detection (Q)
|
100% |
54074
642.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8185
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94428
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
152670
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21955
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245387
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295442
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5458
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52390
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79612
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6182
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9447
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10355
178.9 IPS |
