iPhone 16 Pro
Geekbench AI Score
6051
Single Precision Score
7207
Half Precision Score
6811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:12 PM |
| Views | 2 |
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% |
2982
554.5 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
3158
589.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4354
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4956
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4756
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15105
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17877
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17339
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3124
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3386
268.5 IPS |
|
|
Object Detection (Q)
|
92% |
3443
274.8 IPS |
|
|
Face Detection (SP)
|
100% |
7294
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
10630
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
8402
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12983
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15562
119.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14064
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31118
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39362
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38759
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7520
277.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8334
307.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6943
256.4 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6049
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1246
21.5 IPS |
