iPhone 16 Pro
Geekbench AI Score
6044
Single Precision Score
7203
Half Precision Score
6823
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | September 19 2025 09:52 AM |
| Views | 4 |
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% |
2978
553.9 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.6 IPS |
|
|
Image Classification (Q)
|
96% |
3182
594.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4388
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4962
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4779
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15208
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18094
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17270
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (Q)
|
92% |
3197
255.2 IPS |
|
|
Face Detection (SP)
|
100% |
7048
83.7 IPS |
|
|
Face Detection (HP)
|
100% |
10706
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
8404
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13104
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15236
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14096
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31555
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39272
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38958
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7673
283.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8256
304.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7293
269.3 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6083
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1279
22.1 IPS |
