iPhone 16 Pro
Geekbench AI Score
4633
Single Precision Score
33456
Half Precision Score
44888
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
14827
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18617
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18116
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23658
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8992
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
149457
174.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291213
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
15574
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21307
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
40227
478.0 IPS |
|
|
Face Detection (Q)
|
100% |
52851
628.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8111
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94295
726.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
148041
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
21719
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244511
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296886
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5483
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51112
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80725
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6251
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9484
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10573
182.7 IPS |
