iPhone 16 Pro
Geekbench AI Score
5907
Single Precision Score
6812
Half Precision Score
6162
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 08:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3134
582.9 IPS |
|
|
Image Classification (HP)
|
100% |
2601
483.7 IPS |
|
|
Image Classification (Q)
|
97% |
2850
531.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3505
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4444
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15957
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16732
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16009
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3231
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
3516
278.9 IPS |
|
|
Object Detection (Q)
|
91% |
2891
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
8141
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
11202
133.1 IPS |
|
|
Face Detection (Q)
|
100% |
7717
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14147
109.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15331
118.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12795
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33236
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38981
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37600
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8131
300.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8376
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6763
249.7 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5925
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
918
15.9 IPS |
