iPhone 16 Pro
Geekbench AI Score
4590
Single Precision Score
7731
Half Precision Score
6168
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 01:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8989
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17588
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14933
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7537
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4149
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14105
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9818
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19971
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37231
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30375
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6975
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5041
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7271
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7358
127.2 IPS |
