iPhone 16 Pro
Geekbench AI Score
4711
Single Precision Score
33086
Half Precision Score
46018
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:11 PM |
| Views | 2 |
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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
15168
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19845
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18406
298.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24186
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9439
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153004
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291833
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
16190
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22229
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
40206
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
57263
680.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94952
731.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159274
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21146
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244891
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300597
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5782
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50284
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84406
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5154
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4299
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10090
173.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11470
198.2 IPS |
