iPhone 16 Pro
Geekbench AI Score
2104
Single Precision Score
14792
Half Precision Score
19955
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 06:12 AM |
| Views | 6 |
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% |
886
164.7 IPS |
|
|
Image Classification (HP)
|
100% |
7125
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
9549
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8905
144.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11974
194.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4522
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
60273
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
121020
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
6953
551.5 IPS |
|
|
Object Detection (Q)
|
91% |
8974
717.1 IPS |
|
|
Face Detection (SP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
16813
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
22988
273.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3651
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40816
314.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
67903
530.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10283
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
102940
132.3 IPS |
|
|
Style Transfer (Q)
|
96% |
126540
163.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2613
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23816
879.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35189
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2582
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2575
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4343
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4507
77.9 IPS |
