iPhone 16 Pro
Geekbench AI Score
6145
Single Precision Score
7226
Half Precision Score
6898
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | February 01 2026 04:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
3021
561.8 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.4 IPS |
|
|
Image Classification (Q)
|
94% |
3199
597.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4481
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4999
81.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4820
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15208
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18340
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17490
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (HP)
|
100% |
3610
286.3 IPS |
|
|
Object Detection (Q)
|
90% |
3396
271.5 IPS |
|
|
Face Detection (SP)
|
100% |
7859
93.4 IPS |
|
|
Face Detection (HP)
|
100% |
11639
138.3 IPS |
|
|
Face Detection (Q)
|
100% |
9072
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13358
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15658
120.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
14255
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31609
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39557
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39406
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7584
280.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8128
300.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7062
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
3660
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6177
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1219
21.1 IPS |
