iPhone 16 Pro
Geekbench AI Score
4697
Single Precision Score
33415
Half Precision Score
45015
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | duck_mango1 |
| Upload Date | December 10 2025 04:29 AM |
| Views | 6 |
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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
14215
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
18583
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18105
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23712
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9207
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152077
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292489
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
15569
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21100
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
40507
481.3 IPS |
|
|
Face Detection (Q)
|
100% |
53338
633.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94325
726.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
150915
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
23159
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245207
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296231
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51000
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79997
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6225
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6113
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9576
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10774
186.2 IPS |
