iPhone 16 Pro
Geekbench AI Score
4682
Single Precision Score
33437
Half Precision Score
46632
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:26 PM |
| Views | 3 |
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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
15242
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21154
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18319
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24163
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153426
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292532
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
16318
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22721
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57505
683.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95307
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164014
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
20533
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
247067
317.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300893
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5599
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50806
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84509
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4906
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10337
178.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11586
200.2 IPS |
