iPhone 16 Pro
Geekbench AI Score
6215
Single Precision Score
6902
Half Precision Score
6903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | May 26 2025 02:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3002
558.2 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.5 IPS |
|
|
Image Classification (Q)
|
96% |
3134
585.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4435
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4748
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15740
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17306
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17196
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3345
265.3 IPS |
|
|
Object Detection (HP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (Q)
|
92% |
3091
246.7 IPS |
|
|
Face Detection (SP)
|
100% |
7992
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
10430
123.9 IPS |
|
|
Face Detection (Q)
|
100% |
8938
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14085
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15662
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14658
114.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32450
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39031
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39616
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8007
295.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8257
304.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7592
280.4 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5986
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5940
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1328
23.0 IPS |
