iPhone 16 Pro
Geekbench AI Score
6023
Single Precision Score
7170
Half Precision Score
6803
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:19 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% |
2953
549.1 IPS |
|
|
Image Classification (HP)
|
100% |
3059
568.9 IPS |
|
|
Image Classification (Q)
|
96% |
3125
583.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4350
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4906
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4728
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15152
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17801
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17046
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
3363
266.7 IPS |
|
|
Object Detection (Q)
|
92% |
3163
252.5 IPS |
|
|
Face Detection (SP)
|
100% |
7503
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
10582
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
8344
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13036
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15188
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13972
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31461
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39119
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38867
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7585
280.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7955
293.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7081
261.5 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1320
22.8 IPS |
