iPhone 16 Pro
Geekbench AI Score
4727
Single Precision Score
33009
Half Precision Score
45928
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 11:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
15364
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20412
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24244
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9540
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153221
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292570
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
16315
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22649
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
40236
478.1 IPS |
|
|
Face Detection (Q)
|
100% |
57023
677.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8471
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95691
737.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160560
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21418
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245927
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301973
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50967
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85646
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3448
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4388
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4649
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10312
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11571
200.0 IPS |
