iPhone 16 Pro
Geekbench AI Score
4564
Single Precision Score
33353
Half Precision Score
44916
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | February 01 2026 04:57 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
14824
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18489
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18108
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23848
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8594
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
146695
171.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290343
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
15687
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21145
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
40333
479.2 IPS |
|
|
Face Detection (Q)
|
100% |
53923
640.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7959
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94075
724.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151780
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21874
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245549
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295276
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51373
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80062
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6106
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4169
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9437
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10504
181.5 IPS |
