iPhone 16 Pro
Geekbench AI Score
4435
Single Precision Score
32893
Half Precision Score
45980
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 11:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
15223
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20573
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18392
298.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24254
393.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8221
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
141143
164.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290532
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
16255
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22836
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3805
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
41249
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
57456
682.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7747
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94379
727.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
158643
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
18555
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244199
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301052
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49805
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81955
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4947
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10279
177.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11469
198.2 IPS |
