iPhone 16 Pro
Geekbench AI Score
5890
Single Precision Score
6949
Half Precision Score
6649
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | onion83 |
| Upload Date | September 19 2025 06:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.9 IPS |
|
|
Image Classification (Q)
|
96% |
3051
569.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4365
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4936
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15147
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17820
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17134
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3076
244.0 IPS |
|
|
Object Detection (HP)
|
100% |
3368
267.1 IPS |
|
|
Object Detection (Q)
|
92% |
3156
251.9 IPS |
|
|
Face Detection (SP)
|
100% |
7328
87.1 IPS |
|
|
Face Detection (HP)
|
100% |
10548
125.3 IPS |
|
|
Face Detection (Q)
|
100% |
8229
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13046
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15113
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14054
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31268
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39312
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38947
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7557
279.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8250
304.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7191
265.5 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5315
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5271
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
