iPhone 16 Pro
Geekbench AI Score
6116
Single Precision Score
7087
Half Precision Score
6784
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | electus |
| Upload Date | September 13 2025 04:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (HP)
|
100% |
2649
492.7 IPS |
|
|
Image Classification (Q)
|
96% |
3019
563.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4736
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15584
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17283
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17057
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
3449
273.6 IPS |
|
|
Object Detection (Q)
|
92% |
3191
254.7 IPS |
|
|
Face Detection (SP)
|
100% |
7793
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10895
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
8698
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13328
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15427
118.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13984
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32961
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38822
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38002
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8098
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8277
305.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7665
283.0 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1286
22.2 IPS |
