iPhone 16 Pro
Geekbench AI Score
4552
Single Precision Score
32884
Half Precision Score
46695
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:28 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
14787
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
20418
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18353
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24090
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148309
173.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292015
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
16320
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22925
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
40204
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
57614
684.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7991
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94883
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159684
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19237
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244207
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301927
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5361
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51324
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84404
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4568
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4301
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10307
177.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11541
199.4 IPS |
