iPhone 16 Pro
Geekbench AI Score
4769
Single Precision Score
33341
Half Precision Score
44984
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
13999
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
18235
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18097
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23790
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9652
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152477
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293657
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
15596
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21199
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
40411
480.2 IPS |
|
|
Face Detection (Q)
|
100% |
54133
643.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94345
726.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
152020
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
23410
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245581
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295284
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52324
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80409
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6135
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4261
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9408
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10482
181.1 IPS |
