iPhone 16 Pro
Geekbench AI Score
4250
Single Precision Score
33109
Half Precision Score
44921
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 30 2025 11:18 AM |
| Views | 9 |
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% |
1616
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
14965
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18827
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18144
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23665
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8083
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
134352
156.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
279236
327.3 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
16030
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22056
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
40514
481.4 IPS |
|
|
Face Detection (Q)
|
100% |
54468
647.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7291
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
92325
711.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
148171
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
19968
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243916
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
294451
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4971
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51164
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80168
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6236
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4216
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9301
160.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10474
181.0 IPS |
