iPhone 16 Pro
Geekbench AI Score
6079
Single Precision Score
6971
Half Precision Score
6680
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | August 01 2025 02:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3029
563.3 IPS |
|
|
Image Classification (HP)
|
100% |
2603
484.1 IPS |
|
|
Image Classification (Q)
|
96% |
3119
582.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4428
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4918
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15443
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16880
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16644
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2929
232.3 IPS |
|
|
Object Detection (HP)
|
100% |
3445
273.3 IPS |
|
|
Object Detection (Q)
|
92% |
3137
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
10728
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
8476
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13383
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14688
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13750
107.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32438
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37123
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35261
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8250
304.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7577
279.8 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5916
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
