iPhone 16 Pro
Geekbench AI Score
4738
Single Precision Score
33012
Half Precision Score
45836
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 07:24 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% |
2076
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
15323
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20310
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18095
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24068
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9622
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153753
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292553
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
16357
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22665
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4011
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
41224
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
58033
689.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8364
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95266
734.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159402
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21439
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245940
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301033
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51133
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85804
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4417
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4623
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4261
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10106
174.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11434
197.6 IPS |
