iPhone 16 Pro
Geekbench AI Score
6148
Single Precision Score
7179
Half Precision Score
6879
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 12:19 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% |
3024
562.4 IPS |
|
|
Image Classification (HP)
|
100% |
2626
488.3 IPS |
|
|
Image Classification (Q)
|
96% |
3159
590.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4372
70.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4780
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15090
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18217
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17711
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
3390
268.9 IPS |
|
|
Object Detection (Q)
|
92% |
3226
257.5 IPS |
|
|
Face Detection (SP)
|
100% |
7722
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
11228
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
9005
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13696
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16128
124.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13846
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32082
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40769
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40209
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7656
282.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8019
296.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7064
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6144
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6135
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
