iPhone 16 Pro
Geekbench AI Score
4282
Single Precision Score
32897
Half Precision Score
30855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 13 2025 12:34 PM |
| Views | 7 |
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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
14799
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18918
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18149
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
524
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
7688
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
137324
160.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
264938
310.5 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.6 IPS |
|
|
Object Detection (HP)
|
100% |
15953
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21649
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
40166
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
55277
656.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7236
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93053
716.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
153227
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
18510
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238865
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297933
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48906
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82308
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6283
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6389
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9199
158.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10366
179.1 IPS |
