iPhone 16 Pro
Geekbench AI Score
6675
Single Precision Score
7778
Half Precision Score
7339
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 25 2026 08:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2995
557.0 IPS |
|
|
Image Classification (HP)
|
100% |
3791
705.1 IPS |
|
|
Image Classification (Q)
|
96% |
3337
623.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4318
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4782
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15138
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17813
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17061
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.7 IPS |
|
|
Object Detection (HP)
|
100% |
3862
306.4 IPS |
|
|
Object Detection (Q)
|
91% |
3535
282.6 IPS |
|
|
Face Detection (SP)
|
100% |
7246
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
10939
130.0 IPS |
|
|
Face Detection (Q)
|
100% |
10277
122.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12716
98.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15180
117.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14341
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32331
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40792
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39041
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7691
284.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8411
310.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7376
272.4 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6103
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1820
31.5 IPS |
