iPhone 16 Pro
Geekbench AI Score
6045
Single Precision Score
7171
Half Precision Score
6770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3040
565.3 IPS |
|
|
Image Classification (HP)
|
100% |
2772
515.6 IPS |
|
|
Image Classification (Q)
|
96% |
3041
567.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4354
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4958
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4759
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15154
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18050
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17344
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3141
249.1 IPS |
|
|
Object Detection (HP)
|
100% |
3347
265.4 IPS |
|
|
Object Detection (Q)
|
92% |
3176
253.5 IPS |
|
|
Face Detection (SP)
|
100% |
7265
86.3 IPS |
|
|
Face Detection (HP)
|
100% |
10675
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
8425
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12968
99.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15145
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14051
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31405
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39617
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39175
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7566
279.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8342
308.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7093
261.9 IPS |
|
|
Text Classification (SP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6291
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1248
21.6 IPS |
