iPhone 16 Pro
Geekbench AI Score
4741
Single Precision Score
33421
Half Precision Score
45203
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
14046
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
18771
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18124
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23726
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9478
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152649
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293346
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
15696
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21386
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3803
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
40072
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
53232
632.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94524
728.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
156598
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
23580
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245626
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297262
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53186
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80075
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6228
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6163
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9250
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10426
180.2 IPS |
