iPhone 16 Pro
Geekbench AI Score
4583
Single Precision Score
33148
Half Precision Score
45143
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 01:14 PM |
| Views | 1 |
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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
14832
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
19627
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18125
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23756
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9084
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
133767
156.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
275401
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
16072
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21652
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
40229
478.0 IPS |
|
|
Face Detection (Q)
|
100% |
53719
638.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7834
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94336
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151588
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21858
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244752
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296394
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50788
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79813
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6274
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6263
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9366
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10479
181.1 IPS |
