iPhone 16 Pro
Geekbench AI Score
4712
Single Precision Score
33406
Half Precision Score
45544
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 11:11 AM |
| Views | 5 |
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% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
15176
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19952
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18346
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24163
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9402
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153473
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292100
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
16256
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22767
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
40255
478.3 IPS |
|
|
Face Detection (Q)
|
100% |
57178
679.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96098
740.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159703
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20807
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244086
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302895
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5519
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50591
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85034
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5056
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4414
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4328
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10318
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11538
199.4 IPS |
