iPhone 16 Pro
Geekbench AI Score
4700
Single Precision Score
33317
Half Precision Score
45047
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:22 PM |
| 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% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
13855
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
18699
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18017
292.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23743
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9329
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152179
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293824
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
15504
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21349
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3786
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
40752
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
53934
640.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94451
727.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
149417
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
22884
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245702
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294293
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5501
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51123
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81323
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6291
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9410
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10449
180.6 IPS |
