iPhone 16 Pro
Geekbench AI Score
6021
Single Precision Score
7077
Half Precision Score
6711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 03:30 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2936
546.0 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.1 IPS |
|
|
Image Classification (Q)
|
96% |
3167
591.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4306
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4883
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4692
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15123
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17789
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17039
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3126
248.0 IPS |
|
|
Object Detection (HP)
|
100% |
3368
267.1 IPS |
|
|
Object Detection (Q)
|
92% |
3177
253.6 IPS |
|
|
Face Detection (SP)
|
100% |
7322
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
10496
124.7 IPS |
|
|
Face Detection (Q)
|
100% |
8200
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12956
99.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14916
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13886
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31403
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38770
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37794
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7464
275.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8164
301.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7164
264.5 IPS |
|
|
Text Classification (SP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6060
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1234
21.3 IPS |
