iPhone 16 Pro
Geekbench AI Score
4709
Single Precision Score
33188
Half Precision Score
44374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 04:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
13999
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
17837
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18116
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23675
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9603
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152436
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290216
340.2 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
15400
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21130
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
39879
473.9 IPS |
|
|
Face Detection (Q)
|
100% |
52329
621.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94020
724.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
152988
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
23219
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244487
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294574
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5756
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52403
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78994
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4178
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9389
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10379
179.4 IPS |
