iPhone 16 Pro
Geekbench AI Score
6013
Single Precision Score
7221
Half Precision Score
6712
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 05:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2922
543.4 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.2 IPS |
|
|
Image Classification (Q)
|
96% |
3044
568.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4369
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4935
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4749
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17937
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16500
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
3368
267.1 IPS |
|
|
Object Detection (Q)
|
92% |
3186
254.3 IPS |
|
|
Face Detection (SP)
|
100% |
7324
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
10645
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8616
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12947
99.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15597
120.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13966
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31264
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39102
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38126
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7556
279.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8267
305.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6922
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6221
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6224
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1237
21.4 IPS |
