iPhone 16 Pro
Geekbench AI Score
6088
Single Precision Score
6956
Half Precision Score
6662
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 28 2025 07:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2927
544.3 IPS |
|
|
Image Classification (HP)
|
100% |
2869
533.6 IPS |
|
|
Image Classification (Q)
|
96% |
3123
583.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4892
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4632
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15511
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16274
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15879
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3110
246.7 IPS |
|
|
Object Detection (HP)
|
100% |
3464
274.8 IPS |
|
|
Object Detection (Q)
|
92% |
3136
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
7717
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
9765
116.0 IPS |
|
|
Face Detection (Q)
|
100% |
8602
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13460
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14043
108.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13409
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32976
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39494
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36959
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8074
298.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8247
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7558
279.1 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
