iPhone 16 Pro
Geekbench AI Score
4568
Single Precision Score
33283
Half Precision Score
45230
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 11:48 AM |
| Views | 8 |
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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
13881
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
18431
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17878
289.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23486
380.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9376
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152340
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293294
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
15574
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21400
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
40299
478.8 IPS |
|
|
Face Detection (Q)
|
100% |
54299
645.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94271
726.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
155329
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
16374
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245092
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296657
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51958
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82832
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6143
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9348
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10359
179.0 IPS |
