iPhone 16 Pro
Geekbench AI Score
4291
Single Precision Score
32882
Half Precision Score
44547
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 12:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
14603
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18553
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17861
289.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23123
374.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7911
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
142538
166.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
289230
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
15711
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21391
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
40081
476.3 IPS |
|
|
Face Detection (Q)
|
100% |
54789
651.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7493
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93285
718.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
151967
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
19394
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244695
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296222
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51014
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79636
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6198
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6108
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8748
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9666
167.0 IPS |
