iPhone 16 Pro
Geekbench AI Score
3803
Single Precision Score
27133
Half Precision Score
36707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | onion83 |
| Upload Date | September 19 2025 07:00 AM |
| Views | 2 |
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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
12931
2.40 KIPS |
|
|
Image Classification (Q)
|
97% |
16767
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15281
247.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20495
332.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8247
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
98800
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
188699
221.2 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
13870
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17489
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
30571
363.3 IPS |
|
|
Face Detection (Q)
|
100% |
41676
495.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6828
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77578
597.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129798
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
19625
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
176730
227.2 IPS |
|
|
Style Transfer (Q)
|
96% |
219664
283.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40703
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63135
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5276
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8875
152.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9875
170.7 IPS |
