iPhone 16 Pro
Geekbench AI Score
4634
Single Precision Score
33462
Half Precision Score
44707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2033
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
14572
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
17819
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18090
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23638
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9246
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152274
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292864
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
15485
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21178
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
39937
474.5 IPS |
|
|
Face Detection (Q)
|
100% |
53239
632.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94344
726.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
150116
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
22498
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245760
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296356
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51541
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79834
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6296
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6140
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9425
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10518
181.8 IPS |
